Triple
T23663662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontefract Baghill railway station |
E584517
|
entity |
| Predicate | isLessUsedThan |
P19183
|
FINISHED |
| Object | Pontefract Monkhill railway station |
—
|
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: Pontefract Monkhill railway station | Statement: [Pontefract Baghill railway station, isLessUsedThan, Pontefract Monkhill railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLessUsedThan Context triple: [Pontefract Baghill railway station, isLessUsedThan, Pontefract Monkhill railway station]
-
A.
isMoreFrequentlyUsedThan
Indicates that one entity is used or occurs with greater frequency than another entity.
-
B.
isLessCommonThan
chosen
Indicates that one item occurs, appears, or is observed less frequently than another item.
-
C.
isLessEfficientThan
Indicates that one entity performs a task or uses resources with lower efficiency compared to another entity.
-
D.
isLessCommonSince
Indicates that the frequency or prevalence of one entity has decreased relative to another entity or to its own past occurrence from a specified point in time.
-
E.
usedLessIn
Indicates that one entity is used with a lower frequency or intensity compared to another entity.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b40a1284819087cd29c9c390549d |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.