Triple
T2634269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central line |
E59706
|
entity |
| Predicate | servesArea |
P82
|
FINISHED |
| Object |
Hainault
Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
|
E450448
|
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: Hainault | Statement: [Central line, servesArea, Hainault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hainault Context triple: [Central line, servesArea, Hainault]
-
A.
Hounslow
Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
-
B.
Chislehurst
Chislehurst is a suburban district in southeast London known for its historic commons, caves, and affluent residential character.
-
C.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
D.
Dartford
Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
-
E.
Isleworth
Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
- 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: Hainault Triple: [Central line, servesArea, Hainault]
Generated description
Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hainault Target entity description: Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
-
A.
Hounslow
Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
-
B.
Chislehurst
Chislehurst is a suburban district in southeast London known for its historic commons, caves, and affluent residential character.
-
C.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
D.
Dartford
Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
-
E.
Isleworth
Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacb883188190a213986b2816cde2 |
completed | March 20, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_69bdad4e4a6c81908b5fabc7b0ec82b2 |
completed | March 20, 2026, 8:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdadad12fc81908a2424e353eeca34 |
completed | March 20, 2026, 8:27 p.m. |
Created at: March 6, 2026, 9:50 p.m.