Triple
T5403382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SoS for Education |
E120832
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Westminster, London |
E77156
|
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: Westminster, London | Statement: [SoS for Education, seat, Westminster, London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westminster, London Context triple: [SoS for Education, seat, Westminster, London]
-
A.
Westminster
Westminster is a suburban city in the Denver metropolitan area of Colorado, known for its residential communities, parks, and proximity to the Rocky Mountains.
-
B.
Westminster
Westminster is a city in Orange County, California, known for its large Vietnamese-American community and vibrant Little Saigon district.
-
C.
Westminster
Westminster is a city in northern Maryland that serves as the county seat of Carroll County and a regional hub for the surrounding communities.
-
D.
Westminster, London, England
chosen
Westminster, London, England is a central district of the UK capital known for housing key government institutions, royal landmarks, and major historical sites.
-
E.
London Victoria
London Victoria is a major central London railway terminus and Underground station, serving as a key hub for commuter, regional, and Gatwick Airport services.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87731c1c81909a4dc865282bd289 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3388c10481908235da34ef509d37 |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.