Triple
T26888256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biancazzurri |
E677101
|
entity |
| Predicate | associatedWithClubFromCity |
P30008
|
FINISHED |
| Object | Pescara |
—
|
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: Pescara | Statement: [Biancazzurri, associatedWithClubFromCity, Pescara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithClubFromCity Context triple: [Biancazzurri, associatedWithClubFromCity, Pescara]
-
A.
usedByClubFromCity
Indicates that something (such as a facility, stadium, or resource) is utilized by a sports club that is based in a particular city.
-
B.
participatingClubsFromCity
Indicates that the clubs involved in an event or activity originate from or are based in a specified city.
-
C.
refersToClubBasedAt
Indicates that one entity makes reference to or is associated with a club that is based at a specified location or organization.
-
D.
relatedToClub
Indicates that there is an association or connection between an entity and a club, without specifying the exact nature of that relationship.
-
E.
parentClubCity
chosen
Indicates that a sports club is based in or belongs to a particular city as its home location.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69ff878f41888190bcb3bc41ad26081a |
completed | May 9, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69ff854082d88190aad3bfedf05e849f |
completed | May 9, 2026, 7:04 p.m. |
Created at: April 27, 2026, 5:43 a.m.