Triple
T7433973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winchburgh Station |
E171563
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Winchburgh |
E182188
|
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: Winchburgh | Statement: [Winchburgh Station, locatedIn, Winchburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Winchburgh Context triple: [Winchburgh Station, locatedIn, Winchburgh]
-
A.
Winchburgh
chosen
Winchburgh is a rapidly growing village in West Lothian, Scotland, known for its major housing and infrastructure expansion projects transforming it into a new town.
-
B.
Barnardiston
Barnardiston is a small rural village and civil parish located in the English county of Suffolk.
-
C.
Cullingsburgh
Cullingsburgh is a small settlement on the island of Bressay in the Shetland Islands of Scotland.
-
D.
Banchory
Banchory is a small town in northeast Scotland situated on the River Dee, known for its scenic surroundings and role as a gateway to Royal Deeside.
-
E.
Dechmont
Dechmont is a small village in West Lothian, Scotland, known for its rural setting and proximity to Livingston.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f327480481909c4691fd3333e2ae |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86134a2108190a8e181e47af18e36 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:13 p.m.