Triple
T5383962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope, Derbyshire |
E113156
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Win Hill |
E492110
|
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: Win Hill | Statement: [Hope, Derbyshire, near, Win Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Win Hill Context triple: [Hope, Derbyshire, near, Win Hill]
-
A.
Win Hill
chosen
Win Hill is a prominent peak in England’s Peak District National Park, offering panoramic views over the surrounding countryside and nearby reservoirs.
-
B.
West Hill
West Hill is a residential neighbourhood in the eastern part of Scarborough, Toronto, known for its diverse community and proximity to the Highland Creek ravine and Lake Ontario.
-
C.
Brewster Hill
Brewster Hill is a small residential hamlet within the Town of Southeast in Putnam County, New York.
-
D.
Sandy Hill
Sandy Hill is a historic, centrally located Ottawa neighbourhood known for its mix of embassies, university buildings, and diverse residential areas.
-
E.
French Hill
French Hill is a residential neighborhood in northern Jerusalem known for its mixed population, proximity to major universities, and strategic location overlooking key routes into the city.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86f39edc81908e53973cef1bc0f3 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf335661c8819091058a5275b95284 |
completed | March 22, 2026, 12:09 a.m. |
Created at: March 20, 2026, 2:03 p.m.