Triple
T593900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 World Series |
E17335
|
entity |
| Predicate | Game7FinalScore |
P2625
|
FINISHED |
| Object | Chicago Cubs 8–7 Cleveland Indians |
—
|
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: Chicago Cubs 8–7 Cleveland Indians | Statement: [2016 World Series, Game7FinalScore, Chicago Cubs 8–7 Cleveland Indians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Game7FinalScore Context triple: [2016 World Series, Game7FinalScore, Chicago Cubs 8–7 Cleveland Indians]
-
A.
finalHomeGameResult
Indicates the outcome of an entity’s last home game in a given context or season.
-
B.
game6Winner
Indicates which participant or team won game 6 in a series or sequence of games.
-
C.
game7Venue
Indicates the venue or location where the seventh game of a series or matchup is held.
-
D.
finalScore
chosen
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
E.
game5Winner
Indicates which participant or team won the fifth game in a series or sequence of games.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd15c5881909b59ed4c88687e7b |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cd7d3c8190af008acf34a2293b |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.