Triple
T19932675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warnham railway station |
E479093
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Warnham |
—
|
NE NERFINISHED |
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: Warnham | Statement: [Warnham railway station, serves, Warnham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warnham Context triple: [Warnham railway station, serves, Warnham]
-
A.
Warnham
chosen
Warnham is a rural village and civil parish in West Sussex, England, known for its traditional English countryside character and proximity to the town of Horsham.
-
B.
Williton
Williton is a large village and civil parish in Somerset, England, serving as an important local hub near the coast and the Quantock Hills.
-
C.
Wereham
Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
-
D.
Westwick
Westwick is a small village in Cambridgeshire, England, situated just northwest of Cambridge and closely linked administratively and geographically with the nearby village of Oakington.
-
E.
Warminster
Warminster is a suburban township in Bucks County, Pennsylvania, known for its residential communities, local commerce, and small general-aviation airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a14a2348190b41f8e320fe661d6 |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.