Triple
T15224179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 National League pennant |
E363833
|
entity |
| Predicate | numberOfGamesWonByRunnerUpInNLCS |
P117618
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [2016 National League pennant, numberOfGamesWonByRunnerUpInNLCS, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGamesWonByRunnerUpInNLCS Context triple: [2016 National League pennant, numberOfGamesWonByRunnerUpInNLCS, 2]
-
A.
NLCSRunnerUp
Indicates that a team finished as the runner-up (losing finalist) in the National League Championship Series (NLCS) for a given season.
-
B.
NLCSResult
Indicates the outcome or final score of a match or contest in the NLCS (National League Championship Series) between competing entities.
-
C.
NLCSWinner
Indicates that an entity is the champion or winning team of the National League Championship Series (NLCS) in a given season or context.
-
D.
NLCSGameCount
Indicates the number of games played in a National League Championship Series (NLCS) matchup.
-
E.
NLCSOpponent
Indicates that one entity is the opposing team or competitor faced by the other entity in the National League Championship Series (NLCS).
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078a9318819081db3b7bcc28e04f |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:12 a.m.