Triple
T4764346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloucester Green coach station |
E105771
|
entity |
| Predicate | isMain |
P14730
|
FINISHED |
| Object | intercity coach terminal in Oxford |
—
|
LITERAL 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: intercity coach terminal in Oxford | Statement: [Gloucester Green coach station, isMain, intercity coach terminal in Oxford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMain Context triple: [Gloucester Green coach station, isMain, intercity coach terminal in Oxford]
-
A.
isMajor
chosen
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
B.
hasMainSite
Indicates that one entity is designated as the primary or central site associated with another entity.
-
C.
hasMainOrgan
Indicates that an entity possesses a primary or principal organ that plays a central role in its biological or functional system.
-
D.
isMostly
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
-
E.
isMainDivisionOf
Indicates that one division functions as the primary or central division within, or in relation to, another organizational structure.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd686ef1b08190ad60375592c9d6c0 |
completed | March 20, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69bd622807f881908e4bcb14f7731bac |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.