Triple
T12439370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 National League pennant |
E297229
|
entity |
| Predicate | numberOfGamesInNLCS |
P18174
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [2006 National League pennant, numberOfGamesInNLCS, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGamesInNLCS Context triple: [2006 National League pennant, numberOfGamesInNLCS, 7]
-
A.
NLCSGameCount
chosen
Indicates the number of games played in a National League Championship Series (NLCS) matchup.
-
B.
NLCSResult
Indicates the outcome or final score of a match or contest in the NLCS (National League Championship Series) between competing entities.
-
C.
NLCSFormat
Indicates that an entity uses or is associated with the National League Championship Series (NLCS) competition format or structure.
-
D.
NLCSWinner
Indicates that an entity is the champion or winning team of the National League Championship Series (NLCS) in a given season or context.
-
E.
gamesInALCS
Indicates the number of games played in an American League Championship Series (ALCS) matchup between teams.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.