Triple
T1816265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National League Division Series |
E40442
|
entity |
| Predicate | gameCountMinimum |
P27983
|
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: [National League Division Series, gameCountMinimum, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameCountMinimum Context triple: [National League Division Series, gameCountMinimum, 3]
-
A.
minimumNumberOfGames
chosen
Indicates the smallest required count of games that must be played or satisfied in a given context or constraint.
-
B.
numberOfWinsRequired
Indicates the specific count of wins an entity must achieve to meet a defined goal, threshold, or condition.
-
C.
gamesPlayed
Indicates the number or set of games that an entity has participated in or completed.
-
D.
monthPlayed
Indicates the month during which an activity, event, or game was played or took place.
-
E.
gamesFrequency
Indicates how often the related entities engage in playing games together or participate in game-related activities.
- 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_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. |
Created at: March 4, 2026, 7:32 p.m.