Triple
T1816266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National League Division Series |
E40442
|
entity |
| Predicate | gameCountMaximum |
P32613
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [National League Division Series, gameCountMaximum, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameCountMaximum Context triple: [National League Division Series, gameCountMaximum, 5]
-
A.
gamesPlayed
Indicates the number or set of games that an entity has participated in or completed.
-
B.
minimumNumberOfGames
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
-
C.
gamesEnded
Indicates that one or more games have concluded, reaching their final state or outcome.
-
D.
gamesFrequency
Indicates how often the related entities engage in playing games together or participate in game-related activities.
-
E.
mostWinsByPlayerCount
Indicates the maximum number of wins achieved by any single player within the considered set or context.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba67554788190b429f2b9f0a70310 |
completed | March 7, 2026, 4:15 a.m. |
Created at: March 4, 2026, 7:32 p.m.