Triple
T4033236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grayshott Primary School |
E83762
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Grayshott |
E94213
|
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: Grayshott | Statement: [Grayshott Primary School, locatedIn, Grayshott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grayshott Context triple: [Grayshott Primary School, locatedIn, Grayshott]
-
A.
Grayshott
chosen
Grayshott is a village in Hampshire, England, known as the birthplace of actor Colin Firth.
-
B.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
C.
Kempshott
Kempshott is a residential suburb of Basingstoke in Hampshire, England, known for its family housing and local amenities.
-
D.
Bramshott
Bramshott is a historic village in Hampshire, England, known for its picturesque countryside and association with nearby heathland areas.
-
E.
Saffron Walden
Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b4a54c48190ae8abe0188b9738b |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:36 p.m.