Triple
T18570520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1997 Asia Cup |
E453860
|
entity |
| Predicate | numberOfFinalMatches |
P132610
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1997 Asia Cup, numberOfFinalMatches, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFinalMatches Context triple: [1997 Asia Cup, numberOfFinalMatches, 1]
-
A.
numberOfTestMatches
Indicates the total count of test matches associated with a given entity (such as a player, team, or series) in the relationship.
-
B.
finalMatches
Indicates that two or more items correspond exactly in their final or completed form, satisfying all criteria for being considered the same at the end state.
-
C.
numberOfGamesInMatch
Indicates the total count of individual games that make up a single match.
-
D.
totalMatchesPlayed
Indicates the total number of matches that have been played by the referenced entity or between the related entities.
-
E.
numberOfSemiFinals
Indicates the count of semi-final rounds or appearances associated with an entity in a given context.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b01331c8190bec3aba40358a843 |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:43 a.m.