Triple
T8684772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MARCH |
E206129
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Whittlesey |
E50022
|
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: Whittlesey | Statement: [MARCH, nearbyTown, Whittlesey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whittlesey Context triple: [MARCH, nearbyTown, Whittlesey]
-
A.
Whittlesey
chosen
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.
-
B.
Parwich
Parwich is a small rural village in the Derbyshire Peak District of England, noted for its traditional stone buildings and scenic countryside setting.
-
C.
Biggleswade
Biggleswade is a market town in eastern England situated on the River Ivel, known historically for agriculture and as a local commercial center.
-
D.
Elmswell
Elmswell is a village and civil parish in the county of Suffolk in eastern England.
-
E.
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.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4aeae740819099093906ccc5f640 |
completed | March 31, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf287f05748190b41c606eaae5d0b7 |
completed | April 3, 2026, 2:39 a.m. |
Created at: March 30, 2026, 6:32 p.m.