Triple
T22333430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIBA Basketball World Cup MVP 2019 |
E552080
|
entity |
| Predicate | editionNumberOfTournament |
P147795
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [FIBA Basketball World Cup MVP 2019, editionNumberOfTournament, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editionNumberOfTournament Context triple: [FIBA Basketball World Cup MVP 2019, editionNumberOfTournament, 18]
-
A.
editionOfCompetition
Indicates that one entity is a specific edition or iteration of a recurring competition or tournament.
-
B.
editionOfOlympicTournament
Indicates that one entity is a specific edition or occurrence within the overall series of Olympic tournaments represented by the other entity.
-
C.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
D.
editionWon
Indicates that a particular edition or instance of an event, competition, or award was won by a specified entity.
-
E.
numberOfTournaments
Indicates the total count of tournaments associated with or participated in by an 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577cdcb08190a760e195c1051adb |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.