Triple
T290573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orpington |
E5981
|
entity |
| Predicate | hasBusServicesTo |
P3791
|
FINISHED |
| Object |
Swanley
Swanley is a town in the Sevenoaks District of Kent, England, situated on the southeastern outskirts of Greater London.
|
E53388
|
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: Swanley | Statement: [Orpington, hasBusServicesTo, Swanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swanley Context triple: [Orpington, hasBusServicesTo, Swanley]
-
A.
Redhill
Redhill is a commuter town in southeast England known for its transport links and proximity to London within the county of Surrey.
-
B.
Wythenshawe
Wythenshawe is a large suburban area in south Manchester, England, known for its extensive housing estates, green spaces, and proximity to Manchester Airport.
-
C.
Newton Heath
Newton Heath was the original name of the English football club that later became Manchester United, one of the world’s most famous and successful teams.
-
D.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
E.
Banstead
Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
- 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: Swanley Triple: [Orpington, hasBusServicesTo, Swanley]
Generated description
Swanley is a town in the Sevenoaks District of Kent, England, situated on the southeastern outskirts of Greater London.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swanley Target entity description: Swanley is a town in the Sevenoaks District of Kent, England, situated on the southeastern outskirts of Greater London.
-
A.
Redhill
Redhill is a commuter town in southeast England known for its transport links and proximity to London within the county of Surrey.
-
B.
Wythenshawe
Wythenshawe is a large suburban area in south Manchester, England, known for its extensive housing estates, green spaces, and proximity to Manchester Airport.
-
C.
Newton Heath
Newton Heath was the original name of the English football club that later became Manchester United, one of the world’s most famous and successful teams.
-
D.
Westerham
Westerham is a small historic town in Kent, England, known for its picturesque setting and associations with figures such as Winston Churchill.
-
E.
Banstead
Banstead is a suburban town in southeast England known for its village-like high street and green spaces within the county of Surrey.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a260d21e5881909f3baba8b8dfff92 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4253cbdb88190a4db08c9a91bc15a |
completed | March 1, 2026, 11:38 a.m. |
| NEDg | Description generation | batch_69a4256f2c488190a0373af74b0144c0 |
completed | March 1, 2026, 11:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4290798f88190ae52f0fe6c456498 |
completed | March 1, 2026, 11:54 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.