Triple
T4566273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National High School Baseball Invitational Tournament |
E121916
|
entity |
| Predicate | counterpartSeason |
P1219
|
FINISHED |
| Object | summer |
—
|
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: summer | Statement: [National High School Baseball Invitational Tournament, counterpartSeason, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterpartSeason Context triple: [National High School Baseball Invitational Tournament, counterpartSeason, summer]
-
A.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
-
B.
hasCounterpart
Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
-
C.
competitionSeason
chosen
Indicates that an entity is associated with a particular competitive season or edition of a competition.
-
D.
hasOppositeSeasonTime
Indicates that two locations experience opposite seasons at the same time of year (e.g., when it is summer in one, it is winter in the other).
-
E.
previousSeason
Indicates that one season directly precedes another in chronological order within the same series or competition.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589e35808190aa609bb04b128dbe |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.