Triple
T6836680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swindon railway station |
E157467
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Swindon |
E103379
|
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: Swindon | Statement: [Swindon railway station, serves, Swindon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swindon Context triple: [Swindon railway station, serves, Swindon]
-
A.
Swindon
chosen
Swindon is a large town in Wiltshire, England, known as a major commercial and commuter hub in the southwest with strong railway and industrial heritage.
-
B.
Calne
Calne is a historic market town in Wiltshire, England, known for its former bacon-curing industry and location in the North Wessex Downs area.
-
C.
Yeovil
Yeovil is a town in Somerset, England, known historically for its aircraft and defence industries and serving as a commercial and service hub for the surrounding rural area.
-
D.
Chippenham
Chippenham is a village and civil parish in the East Cambridgeshire district of Cambridgeshire, England, known for its rural character and historic estate landscapes.
-
E.
Chippenham
Chippenham is a historic market town in Wiltshire, England, known for its location on the River Avon and its role as a regional commercial and commuter hub.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d67c1c508190ab39b8aaaaacc628 |
completed | March 27, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748b244008190b0b373a67799ffa1 |
completed | March 28, 2026, 3:19 a.m. |
Created at: March 27, 2026, 2:19 p.m.