Triple
T33877471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Northern Railway’s Queensbury lines |
E868393
|
entity |
| Predicate | linkedIndustrialTowns |
P64091
|
FINISHED |
| Object | Bradford |
—
|
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: Bradford | Statement: [Great Northern Railway’s Queensbury lines, linkedIndustrialTowns, Bradford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedIndustrialTowns Context triple: [Great Northern Railway’s Queensbury lines, linkedIndustrialTowns, Bradford]
-
A.
hasIndustrialTown
Indicates that an entity possesses or is associated with a town characterized primarily by industrial activities or facilities.
-
B.
formerIndustrialTown
Indicates that a town previously had a significant industrial base or economy but no longer does.
-
C.
containsIndustrialAreas
Indicates that one entity includes or encompasses industrial areas within its boundaries or scope.
-
D.
connectsIndustrialCenter
chosen
Indicates a relationship where one entity serves as a link or route that joins or provides access between industrial centers.
-
E.
foundedAsIndustrialTown
Indicates that a settlement was originally established specifically as an industrial town, typically to support concentrated industrial or manufacturing activity.
- F. None of above.
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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: May 1, 2026, 1:48 a.m.