Triple
T24631012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association football |
E609672
|
entity |
| Predicate | commonMatchOutcomeTypes |
P156831
|
FINISHED |
| Object | win |
—
|
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: win | Statement: [Association football, commonMatchOutcomeTypes, win]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonMatchOutcomeTypes Context triple: [Association football, commonMatchOutcomeTypes, win]
-
A.
matchTypes
Indicates that two or more entities share the same type or category according to a specified classification.
-
B.
matchType
Indicates the specific category or nature of how two or more entities correspond or align with each other within a given context.
-
C.
includesMatchType
Indicates that one entity’s set or collection contains an element with a specified type of match (e.g., exact, partial, or pattern-based) to another entity.
-
D.
matchesType
Indicates that one entity has the same or a compatible type as another entity according to a defined type system or classification.
-
E.
usesMatchType
Indicates that one entity applies or operates according to a specific type or category of matching criteria defined by another entity.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.