Triple
T9094993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Street (Manchester) |
E217994
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Manchester city centre road network
The Manchester city centre road network is the interconnected system of streets and routes that forms the primary framework for vehicular and pedestrian movement within central Manchester, England.
|
E777796
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Manchester city centre road network | Statement: [George Street (Manchester), partOf, Manchester city centre road network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manchester city centre road network Context triple: [George Street (Manchester), partOf, Manchester city centre road network]
-
A.
City of London street network
The City of London street network is the dense, historic web of roads and lanes at the core of London’s financial district, characterized by medieval street patterns interwoven with modern thoroughfares.
-
B.
Cambridge city centre street network
Cambridge city centre street network is the interconnected system of historic streets, lanes, and pedestrian routes that forms the core urban layout of central Cambridge, England.
-
C.
Cardiff city centre road network
The Cardiff city centre road network is the interconnected system of streets and routes that forms the primary framework for traffic circulation and access within central Cardiff.
-
D.
Amsterdam inner-city road network
The Amsterdam inner-city road network is the dense system of streets and thoroughfares that organizes and channels motor, bicycle, and pedestrian traffic through the historic core of Amsterdam.
-
E.
Madrid city street network
The Madrid city street network is the interconnected system of roads, avenues, and alleys that structures urban movement and shapes the spatial layout of Spain’s capital.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Manchester city centre road network Triple: [George Street (Manchester), partOf, Manchester city centre road network]
Generated description
The Manchester city centre road network is the interconnected system of streets and routes that forms the primary framework for vehicular and pedestrian movement within central Manchester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manchester city centre road network Target entity description: The Manchester city centre road network is the interconnected system of streets and routes that forms the primary framework for vehicular and pedestrian movement within central Manchester, England.
-
A.
City of London street network
The City of London street network is the dense, historic web of roads and lanes at the core of London’s financial district, characterized by medieval street patterns interwoven with modern thoroughfares.
-
B.
Cambridge city centre street network
Cambridge city centre street network is the interconnected system of historic streets, lanes, and pedestrian routes that forms the core urban layout of central Cambridge, England.
-
C.
Cardiff city centre road network
The Cardiff city centre road network is the interconnected system of streets and routes that forms the primary framework for traffic circulation and access within central Cardiff.
-
D.
Amsterdam inner-city road network
The Amsterdam inner-city road network is the dense system of streets and thoroughfares that organizes and channels motor, bicycle, and pedestrian traffic through the historic core of Amsterdam.
-
E.
Madrid city street network
The Madrid city street network is the interconnected system of roads, avenues, and alleys that structures urban movement and shapes the spatial layout of Spain’s capital.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b4a2e0819092f4eae8b1d21f33 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0180f70b88190a2d3dc49f32f0c2e |
completed | April 3, 2026, 7:42 p.m. |
| NEDg | Description generation | batch_69d019652fe8819096cccb8cff431261 |
completed | April 3, 2026, 7:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d01a290de881909482b7eb70bef0e3 |
completed | April 3, 2026, 7:51 p.m. |
Created at: March 30, 2026, 7:14 p.m.