Triple
T2786212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1984 National League pennant |
E61816
|
entity |
| Predicate | gamesWonByChampion |
P15130
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [1984 National League pennant, gamesWonByChampion, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gamesWonByChampion Context triple: [1984 National League pennant, gamesWonByChampion, 3]
-
A.
championRegularSeasonWins
Indicates that an entity is the champion based on having the highest number of regular season wins.
-
B.
gamesWonBy
chosen
Indicates the number of games that have been won by a particular entity in a given context.
-
C.
winnerTitleCount
Indicates the number of titles or championships an entity has won.
-
D.
losingLeagueChampion
Indicates that the subject is the champion (winner) of a league or competition in which the object is the losing or defeated side.
-
E.
worldChampionIn
Indicates that an entity holds or has held the title of world champion in a specified field, discipline, or competition.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd025c948190a97dd961a9592bac |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.