Triple
T5753286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LAA |
E126902
|
entity |
| Predicate | hasWorldSeriesTitle |
P66178
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [LAA, hasWorldSeriesTitle, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldSeriesTitle Context triple: [LAA, hasWorldSeriesTitle, 2002]
-
A.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
B.
worldSeriesTitles
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
C.
WorldSeriesTitleWith
Indicates a relationship where two or more entities share a World Series championship title together in the same year or on the same team.
-
D.
wonWorldSeriesWithTeam
Indicates that a person achieved a World Series championship as a member of a specified team.
-
E.
worldSeriesTitleAsPlayerYear
Indicates the specific year in which an individual, in their role as a player, won a World Series title.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029032ba08190ae4062d74ab271ee |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:48 p.m.