Triple
T22014045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negro World Series |
E543656
|
entity |
| Predicate | numberOfGamesFormat |
P146279
|
FINISHED |
| Object | best of nine games (in many years) |
—
|
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: best of nine games (in many years) | Statement: [Negro World Series, numberOfGamesFormat, best of nine games (in many years)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGamesFormat Context triple: [Negro World Series, numberOfGamesFormat, best of nine games (in many years)]
-
A.
gamesPlayedFormat
Indicates the specific format or type of game setup in which the games were played between the related entities.
-
B.
numberOfGamesDepicted
Indicates the total count of distinct games that are shown or represented in the given context.
-
C.
numberOfGamesScheduled
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
D.
gamesPlayed
Indicates the number or set of games that an entity has participated in or completed.
-
E.
minimumNumberOfGames
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a6bf6081909865781ea7937a1b |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:22 p.m.