Triple
T23554197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirbright Camp |
E578133
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Pirbright |
—
|
NE NERFINISHED |
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: Pirbright | Statement: [Pirbright Camp, locatedIn, Pirbright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pirbright Context triple: [Pirbright Camp, locatedIn, Pirbright]
-
A.
Pirbright
chosen
Pirbright is a village and civil parish in Surrey, England, known for its rural character, military connections, and proximity to the town of Woking.
-
B.
Babraham
Babraham is a village in Cambridgeshire, England, known for its historic rural setting and the Babraham Institute, a major life sciences research center.
-
C.
Twycross
Twycross is a small village and civil parish in Leicestershire, England, best known for being home to Twycross Zoo.
-
D.
Combe Florey
Combe Florey is a small village in Somerset, England, best known as the later home and death place of novelist Evelyn Waugh.
-
E.
Cranfield
Cranfield is a village in Bedfordshire, England, best known for hosting Cranfield University and its associated aerospace and technology facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed17fc881908b45dcde14790d42 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:12 p.m.