Triple
T6723769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lone Star Series |
E153458
|
entity |
| Predicate | trophyAwardedTo |
P30587
|
FINISHED |
| Object | team winning season series |
—
|
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: team winning season series | Statement: [Lone Star Series, trophyAwardedTo, team winning season series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyAwardedTo Context triple: [Lone Star Series, trophyAwardedTo, team winning season series]
-
A.
trophyCustodian
Indicates that one entity is responsible for holding, safeguarding, or managing a trophy on behalf of another entity or organization.
-
B.
trophy
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
-
C.
awardTo
chosen
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
D.
namedAfterTrophy
Indicates that one entity has been given a name derived from or in honor of a particular trophy.
-
E.
trophyRecognitionBody
Indicates that an entity serves as the official organization or body responsible for awarding or recognizing a particular trophy.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:08 p.m.