Triple
T29165762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1995 Major League Baseball season |
E739312
|
entity |
| Predicate | typicalGamesPerTeamBeforeStrike |
P203467
|
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: [1995 Major League Baseball season, typicalGamesPerTeamBeforeStrike, 162]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGamesPerTeamBeforeStrike Context triple: [1995 Major League Baseball season, typicalGamesPerTeamBeforeStrike, 162]
-
A.
reducedFromGamesPerTeam
Indicates that the current number of games per team has been decreased from a previously higher number.
-
B.
teamCountPerGame
Indicates the number of teams that participate in a single game or match.
-
C.
awayGamesPerTeam
Indicates the number of games a team plays as the visiting (away) side.
-
D.
numberPerGame
Indicates the average count of a particular statistic or event that occurs for an entity in each game.
-
E.
conferenceGamesPerTeam
Indicates the number of games each team plays against opponents within its conference.
- 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_69f07cb6394c8190ab7842c48e699e2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a0189f3f0248190a1b018164d18e6f5 |
completed | May 11, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_6a0187ee0920819097047bb55e1f9506 |
completed | May 11, 2026, 7:40 a.m. |
| PDg | Predicate description generation | batch_6a0189f318c881909c4995203a58a097 |
completed | May 11, 2026, 7:49 a.m. |
Created at: April 28, 2026, 11:49 a.m.