Triple
T4205319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelvinbridge subway station |
E86169
|
entity |
| Predicate | fareZone |
P844
|
FINISHED |
| Object |
Zone G
Zone G is a designated fare zone within the Glasgow Subway ticketing system that includes Kelvinbridge subway station.
|
E420714
|
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: Zone G | Statement: [Kelvinbridge subway station, fareZone, Zone G]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zone G Context triple: [Kelvinbridge subway station, fareZone, Zone G]
-
A.
Zone 1
Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
-
B.
Zone 5
Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
-
C.
Zone L (Guthrie classification)
Zone L in the Guthrie classification is a group of closely related Bantu languages centered around Tshiluba and its dialects in south-central Africa.
-
D.
Zone 1A
Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
-
E.
G4
G4 is a family of PowerPC microprocessors developed by Motorola and used in various Apple Macintosh computers in the late 1990s and early 2000s.
- 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: Zone G Triple: [Kelvinbridge subway station, fareZone, Zone G]
Generated description
Zone G is a designated fare zone within the Glasgow Subway ticketing system that includes Kelvinbridge subway station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zone G Target entity description: Zone G is a designated fare zone within the Glasgow Subway ticketing system that includes Kelvinbridge subway station.
-
A.
Zone 1
Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
-
B.
Zone 5
Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
-
C.
Zone L (Guthrie classification)
Zone L in the Guthrie classification is a group of closely related Bantu languages centered around Tshiluba and its dialects in south-central Africa.
-
D.
Zone 1A
Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
-
E.
G4
G4 is a family of PowerPC microprocessors developed by Motorola and used in various Apple Macintosh computers in the late 1990s and early 2000s.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0382eafc8190946bf45bf28095dd |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a19c90c819083a750fafa6fd1c7 |
completed | March 14, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69b58e337aec819092020d46ee235fd1 |
completed | March 14, 2026, 4:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58e9f50948190a40254375e76153c |
completed | March 14, 2026, 4:36 p.m. |
Created at: March 9, 2026, 3:49 p.m.