Triple
T8584156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Histon |
E203259
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object | Oakington |
E203268
|
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: Oakington | Statement: [Histon, hasNeighbour, Oakington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakington Context triple: [Histon, hasNeighbour, Oakington]
-
A.
Oakington
chosen
Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
-
B.
Whittlesey
Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
-
C.
Burnt Oak
Burnt Oak is a suburban district in northwest London known for its diverse community, local shopping streets, and residential character.
-
D.
Elmswell
Elmswell is a village and civil parish in the county of Suffolk in eastern England.
-
E.
Hawkesbury Upton
Hawkesbury Upton is a small rural village in South Gloucestershire, England, known for its traditional Cotswold stone buildings and annual literature festival.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89bfb95c81909660460d5813fdaf |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:22 p.m.