Triple
T16337508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States |
E396712
|
entity |
| Predicate | MLBSeasonFeature |
P123019
|
FINISHED |
| Object | regular season games |
—
|
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: regular season games | Statement: [United States, MLBSeasonFeature, regular season games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MLBSeasonFeature Context triple: [United States, MLBSeasonFeature, regular season games]
-
A.
finalMLBSeason
Indicates the specific MLB season that was the last one in which the subject participated or was active.
-
B.
managedMLB
Indicates that one entity served as the manager of a Major League Baseball (MLB) team or organization represented by the other entity.
-
C.
MLBSeasonYear
Indicates the specific calendar year in which a particular Major League Baseball season takes place.
-
D.
managerialWinsMLB
Indicates that the subject has achieved a specified number of wins as a manager in Major League Baseball.
-
E.
numberOfMLBSeasons
Indicates the total count of seasons an entity has participated in Major League Baseball.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e524448190870a6ef569017b56 |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:07 a.m.