Triple
T8581762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Borough of Havering |
E203198
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Upminster |
E295251
|
NE FINISHED |
How this triple was built (2 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: Upminster | Statement: [London Borough of Havering, hasSettlement, Upminster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upminster Context triple: [London Borough of Havering, hasSettlement, Upminster]
-
A.
Upminster
chosen
Upminster is a suburban town in East London that serves as a key transport hub and residential area on the eastern edge of Greater London.
-
B.
Mill Hill
Mill Hill is a suburban area in the London Borough of Barnet, known for its residential character, green spaces, and local schools.
-
C.
Egremont
Egremont is a small rural town in southwestern Massachusetts known for its scenic Berkshire landscapes and historic New England character.
-
D.
Egremont
Egremont is a district within the town of Wallasey on the Wirral Peninsula in Merseyside, England.
-
E.
Uxbridge
Uxbridge is a township in Ontario, Canada, known for its rural landscapes, trail networks, and proximity to protected natural areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1bbbd8819082670286a711826d |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89b6d7f081908eecf0dd901e6bef |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:22 p.m.