Triple
T8701029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foxton railway station |
E206530
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Foxton |
E206530
|
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: Foxton | Statement: [Foxton railway station, serves, Foxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foxton Context triple: [Foxton railway station, serves, Foxton]
-
A.
Foxton
Foxton is a small coastal town in New Zealand known for its historic flax industry and proximity to the Manawatū River.
-
B.
Foxton
chosen
Foxton is a small village and civil parish in South Cambridgeshire, England, known for its rural character and proximity to Cambridge.
-
C.
Farlington
Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
-
D.
Cronton
Cronton is a small village and civil parish in the Metropolitan Borough of Knowsley in Merseyside, England.
-
E.
Faytown
Faytown is an informal nickname commonly used to refer to the city of Fayetteville in northwest Arkansas.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58b27bd48190a5f76111ee657553 |
completed | March 31, 2026, 11:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef41657588190ba6f79c27658dd1b |
completed | April 2, 2026, 10:56 p.m. |
Created at: March 30, 2026, 6:34 p.m.