Triple
T32391067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cittadella |
E827673
|
entity |
| Predicate | footballClubLeague |
P3200
|
FINISHED |
| Object | Italian football league system |
—
|
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: Italian football league system | Statement: [Cittadella, footballClubLeague, Italian football league system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footballClubLeague Context triple: [Cittadella, footballClubLeague, Italian football league system]
-
A.
associationFootballClub
Indicates that the subject is an association football (soccer) club, i.e., an organized team entity that plays the sport of association football.
-
B.
countryLeagueOfClub
Indicates that a given country is the national association or league system in which a particular sports club competes.
-
C.
associationFootballClubIn
Indicates that an association football (soccer) club is located in or based in a specified place or region.
-
D.
league2
chosen
Indicates that an entity participates in, is a member of, or is otherwise affiliated with a specific sports league or competitive organization.
-
E.
hostsFootballClub
Indicates that one entity serves as the home location or venue where a football club is based or plays its matches.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1d9a0848190b39120e9d669b8a5 |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:52 a.m.