Triple
T2870381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huntingdonshire |
E63545
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | St Neots |
E49267
|
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: St Neots | Statement: [Huntingdonshire, hasTown, St Neots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Neots Context triple: [Huntingdonshire, hasTown, St Neots]
-
A.
St Neots
chosen
St Neots is a historic market town in eastern England situated on the River Great Ouse, known for its riverside parks and growing commuter population.
-
B.
Saffron Walden
Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
-
C.
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.
-
D.
Sawbridgeworth
Sawbridgeworth is a historic market town in Hertfordshire, England, situated near the River Stort and known for its commuter links to London and surrounding countryside.
-
E.
Grayshott
Grayshott is a village in Hampshire, England, known as the birthplace of actor Colin Firth.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe2dcb48190a194253e733d14af |
completed | March 7, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e0c57b481908726496e6c2fc395 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 6, 2026, 10:02 p.m.