Triple
T94016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Industriales |
E1889
|
entity |
| Predicate | hasWon |
P2624
|
FINISHED |
| Object | multiple Cuban National Series championships |
—
|
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: multiple Cuban National Series championships | Statement: [Industriales, hasWon, multiple Cuban National Series championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWon Context triple: [Industriales, hasWon, multiple Cuban National Series championships]
-
A.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
B.
winnerQualifiedFor
Indicates that the entity identified as the winner has earned or met the conditions required to qualify for a subsequent stage, event, or status.
-
C.
hasAdvantage
Indicates that one entity possesses a benefit, edge, or favorable position over another in a given context.
-
D.
winningTeam
chosen
Indicates which team is the victor in a given competition, game, or contest.
-
E.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a2512ef600819084d3c627f0d534f4 |
completed | Feb. 28, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69a24eb9a5ac8190b1d1300e8c4e3606 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.