Triple
T27797534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anglo-Italian Cup |
E702154
|
entity |
| Predicate | hadSemiProfessionalEra |
P123931
|
FINISHED |
| Object | 1975–1986 |
—
|
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: 1975–1986 | Statement: [Anglo-Italian Cup, hadSemiProfessionalEra, 1975–1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadSemiProfessionalEra Context triple: [Anglo-Italian Cup, hadSemiProfessionalEra, 1975–1986]
-
A.
wasAmateurOrSemiPro
chosen
Indicates that the subject participated in an activity at an amateur or semi-professional level, rather than as a full professional.
-
B.
hasPlayedProfessionalSports
Indicates that an entity has participated as an athlete in an officially recognized professional-level sports competition or league.
-
C.
hasProfessionalPlayers
Indicates that an entity is associated with or includes individuals who participate in a profession at a professional level.
-
D.
refersToEraOfCareer
Indicates that one entity specifies or denotes the particular era or phase within another entity’s career.
-
E.
isRetiredAsPlayer
Indicates that an individual has ended their active career or participation in a sport or game as a player.
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:32 p.m.