Triple
T24614786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National League regular season |
E609223
|
entity |
| Predicate | typicalGamesPerTeam |
P7554
|
FINISHED |
| Object | 162 |
—
|
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: 162 | Statement: [National League regular season, typicalGamesPerTeam, 162]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGamesPerTeam Context triple: [National League regular season, typicalGamesPerTeam, 162]
-
A.
conferenceGamesPerTeam
Indicates the number of games each team plays against opponents within its conference.
-
B.
teamCountPerGame
Indicates the number of teams that participate in a single game or match.
-
C.
regularSeasonGamesPerTeam
chosen
Indicates the number of games each team plays during the regular season.
-
D.
typicalNumberOfGamesRange
Indicates the usual minimum and maximum number of games typically played in the associated context or setting.
-
E.
numberOfRoundRobinGamesPerTeam
Indicates the number of games each team plays in a round-robin competition format.
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.