Triple
T8099683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Michael’s Church, Heckfield |
E189076
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Heckfield |
E192538
|
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: Heckfield | Statement: [St Michael’s Church, Heckfield, locatedIn, Heckfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heckfield Context triple: [St Michael’s Church, Heckfield, locatedIn, Heckfield]
-
A.
Heckfield
chosen
Heckfield is a small village in Hampshire, England, known in part as the place where former British Prime Minister Neville Chamberlain died.
-
B.
Winchfield
Winchfield is a village in Hampshire, England, known for its rural character and railway station on the main line between London and Basingstoke.
-
C.
Heathfield
Heathfield is a district in Birmingham, England, historically notable as the place where pioneering engineer James Watt spent his final years and died.
-
D.
Heathfield
Heathfield is a small market town in East Sussex, England, known for its rural surroundings and community-focused local events.
-
E.
Burghfield
Burghfield is a village and civil parish in Berkshire, England, known for its rural character and proximity to Reading.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42ba9af88190b6310d799818e3d5 |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc641d96e88190adee974b79d5fc05 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:31 p.m.