Triple
T290490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darwin’s study |
E5980
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Downe |
E17498
|
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: Downe | Statement: [Darwin’s study, locatedIn, Downe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downe Context triple: [Darwin’s study, locatedIn, Downe]
-
A.
Downe
chosen
Downe is a village in the London Borough of Bromley, England, best known as the home of Down House where Charles Darwin lived and worked.
-
B.
Redhill
Redhill is a commuter town in southeast England known for its transport links and proximity to London within the county of Surrey.
-
C.
Englefield Green
Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
-
D.
Hampstead
Hampstead is a historic and affluent district in north London, England, known for its literary and artistic associations and the expansive Hampstead Heath.
-
E.
Sutton Place
Sutton Place is an affluent residential neighborhood on Manhattan’s East Side, known for its elegant townhouses, river views, and quiet, exclusive character.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e4f78bc81909a64fd6aaec3b504 |
completed | Feb. 28, 2026, 3:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3ab9e277c81909b75bbeaa6c818a2 |
completed | March 1, 2026, 2:59 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.