Triple
T29117784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cy-Hawk rivalry |
E737094
|
entity |
| Predicate | footballTrophy |
P2890
|
FINISHED |
| Object | Cy-Hawk Trophy |
—
|
NE NERFINISHED |
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: Cy-Hawk Trophy | Statement: [Cy-Hawk rivalry, footballTrophy, Cy-Hawk Trophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballTrophy Context triple: [Cy-Hawk rivalry, footballTrophy, Cy-Hawk Trophy]
-
A.
wonFAcup
Indicates that the subject has won the FA Cup football competition.
-
B.
topTeamTrophy
Indicates that a trophy is awarded to the team recognized as the top or best-performing team in a competition or league.
-
C.
leagueCup
Indicates that an entity is a cup-style competition organized within or by a specific league.
-
D.
trophy
chosen
Indicates that one entity is a trophy awarded or possessed in relation to another entity, typically as a result of winning or achieving something.
-
E.
WorldCup
Indicates a relationship where an entity is associated with the FIFA World Cup, such as participating in, hosting, or being otherwise directly involved in that tournament.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661f244fc8190b931f5099dc432d2 |
completed | May 2, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:23 a.m.