Triple
T8050490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunnersbury |
E187659
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Acton |
E394114
|
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: Acton | Statement: [Gunnersbury, near, Acton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acton Context triple: [Gunnersbury, near, Acton]
-
A.
Acton
Acton is a suburban town in Middlesex County, Massachusetts, known for its residential communities, conservation land, and commuter access to Boston.
-
B.
Acton
Acton is an inner suburb of Canberra, Australia, known for housing major national institutions such as the Australian National University and several key cultural and research facilities.
-
C.
Acton
Acton is a village and civil parish located in the county of Suffolk in eastern England.
-
D.
Acton
chosen
Acton is a largely residential and commercial district in the London Borough of Ealing, known for its diverse community and good transport links into central London.
-
E.
Acton
Acton is a small community within the town of Halton Hills in Ontario, Canada, historically known for its leather and tanning industry.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f799d1481909c91039941af0e34 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93cc0cec8190834e4c24f6d03a99 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:24 p.m.