Triple
T12843028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coca-Cola Championship |
E307099
|
entity |
| Predicate | competitionStatusDuringSponsorship |
P8332
|
FINISHED |
| Object | active |
—
|
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: active | Statement: [Coca-Cola Championship, competitionStatusDuringSponsorship, active]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionStatusDuringSponsorship Context triple: [Coca-Cola Championship, competitionStatusDuringSponsorship, active]
-
A.
competitionStatus
chosen
Indicates the current state or phase of a competition, such as whether it is upcoming, ongoing, paused, or completed.
-
B.
competitiveStatus
Indicates the nature or level of competition that exists between entities, such as whether they are rivals, collaborators, or non-competitors.
-
C.
sponsorshipEnded
Indicates that a previously existing sponsorship relationship between entities has been terminated or has come to an end.
-
D.
stateOfSponsor
Indicates the current status or condition of a sponsor in relation to the sponsored entity or activity.
-
E.
sponsorshipEndedWith
Indicates that a previously existing sponsorship relationship between entities has come to an end.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:35 p.m.