Triple
T12864082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turville Hill |
E307670
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ibstone |
E997336
|
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: Ibstone | Statement: [Turville Hill, near, Ibstone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibstone Context triple: [Turville Hill, near, Ibstone]
-
A.
Ibstone
chosen
Ibstone is a small rural village in Buckinghamshire, England, situated in the Chiltern Hills and known for its scenic countryside and traditional English character.
-
B.
Pitstone
Pitstone is a village and civil parish in Buckinghamshire, England, known for its rural setting near the Chiltern Hills and proximity to the Grand Union Canal.
-
C.
Isbister
Isbister is a small coastal settlement on the island of Whalsay in the Shetland Islands of Scotland.
-
D.
Sherkston
Sherkston is a lakeside community in Ontario, Canada, known for its beaches, campgrounds, and recreational resort atmosphere along Lake Erie.
-
E.
Orlestone
Orlestone is a civil parish and rural community in the Ashford district of Kent, England, known for its woodland and countryside 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708cf6b48190886a99e04d85d348 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb092b88190b159f1d79156cf86 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:37 p.m.