Triple
T8151449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Wales derby |
E190342
|
entity |
| Predicate | fixtureType |
P80836
|
FINISHED |
| Object | league match |
—
|
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: league match | Statement: [South Wales derby, fixtureType, league match]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fixtureType Context triple: [South Wales derby, fixtureType, league match]
-
A.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
-
B.
typeOfFixing
Indicates the specific method or manner in which one entity is fastened, attached, or secured to another.
-
C.
fuseType
Indicates the specific kind or category of fuse associated with or used in relation to an entity.
-
D.
kitType
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
E.
typeOfFigure
Indicates that one entity is a specific kind or category of geometric figure relative to another.
- F. None of above. chosen
Provenance (4 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4483799c81908e73f9a87ed99185 |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39ba412881908a053e88f29a9588 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:37 p.m.