Triple
T7145728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridge of Weir |
E166562
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | Bridge of Weir |
E166562
|
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: Bridge of Weir | Statement: [Bridge of Weir, hasPostTown, Bridge of Weir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bridge of Weir Context triple: [Bridge of Weir, hasPostTown, Bridge of Weir]
-
A.
Bridge of Weir
chosen
Bridge of Weir is a village in Renfrewshire, Scotland, known historically for its leather industry and location on the River Gryffe.
-
B.
Culross
Culross is a historic coastal village in Fife, Scotland, known for its well-preserved 16th–17th century buildings and picturesque harbour.
-
C.
Peebles
Peebles is a historic market town in the Scottish Borders, known for its scenic riverside setting, traditional architecture, and outdoor recreation.
-
D.
Glassport
Glassport is a small industrial borough in Allegheny County, Pennsylvania, located along the Monongahela River near Pittsburgh.
-
E.
Wattstown
Wattstown is a small former coal mining village located in the Rhondda Valley in South Wales.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7d3c48c8190a71a61a1d50cd7da |
completed | March 27, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ada12a848190b6e98e0b1a258c17 |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:46 p.m.