Triple
T1357842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National League Championship Series |
E29028
|
entity |
| Predicate | numberOfWinsRequired |
P27982
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [National League Championship Series, numberOfWinsRequired, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWinsRequired Context triple: [National League Championship Series, numberOfWinsRequired, 4]
-
A.
pointsForWin
Indicates the number of points awarded to an entity for achieving a win in a given context or competition.
-
B.
gameWinningScoreType
Indicates the type or category of score (e.g., goal, point, run) that results in winning a game.
-
C.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
-
D.
conditionOfVictory
Indicates the specific circumstances or criteria under which a participant is considered to have won.
-
E.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c28f5b988190b0be4504eabb919d |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c20fd1fc8190977a768b1ed2d23b |
completed | March 1, 2026, 10:47 p.m. |
Created at: March 1, 2026, 7:56 p.m.