Triple
T13389899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Lô |
E319546
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Sturminster Newton |
E789164
|
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: Sturminster Newton | Statement: [Saint-Lô, hasTwinTown, Sturminster Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sturminster Newton Context triple: [Saint-Lô, hasTwinTown, Sturminster Newton]
-
A.
Sturminster Newton
chosen
Sturminster Newton is a small historic market town in Dorset, England, known for its picturesque mill on the River Stour and associations with writer Thomas Hardy.
-
B.
Sturminster Marshall
Sturminster Marshall is a village and civil parish in Dorset, England, known for its rural character and historic parish church.
-
C.
Kidderminster
Kidderminster is a historic market and industrial town in Worcestershire, England, traditionally known for its carpet manufacturing.
-
D.
Shipston-on-Stour
Shipston-on-Stour is a small historic market town in Warwickshire, England, situated on the River Stour near the northern edge of the Cotswolds.
-
E.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d543348190a9c1be509b015c0f |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72691c8d08190b971d7e914863cc1 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:34 p.m.