Triple
T6311564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National League Championship Series MVP Award |
E141514
|
entity |
| Predicate | winnerCountPerYear |
P66376
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [National League Championship Series MVP Award, winnerCountPerYear, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerCountPerYear Context triple: [National League Championship Series MVP Award, winnerCountPerYear, 1]
-
A.
numberOfWinnersPerSeason
chosen
Indicates the relationship that specifies how many winners are associated with each individual season.
-
B.
mostWinsYears
Indicates the years during which an entity achieved the highest number of wins compared to others or compared to its own performance in other years.
-
C.
winnerCount
Indicates the number of entities that are designated as winners in a given context or event.
-
D.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
E.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0649d1e048190a3fc7fbce9d2ee57 |
completed | March 22, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.