Triple
T22585269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coppa Italia |
E564771
|
entity |
| Predicate | secondTierLeagueParticipants |
P148831
|
FINISHED |
| Object | Serie B clubs |
—
|
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: Serie B clubs | Statement: [Coppa Italia, secondTierLeagueParticipants, Serie B clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondTierLeagueParticipants Context triple: [Coppa Italia, secondTierLeagueParticipants, Serie B clubs]
-
A.
tier3LeagueParticipants
Indicates that the related entities are participants in a third-tier league within a competitive or organizational hierarchy.
-
B.
secondDivisionLeagueRepresented
Indicates that an entity is or was represented by a team or participant competing in a second-division sports league.
-
C.
secondDivisionName
Indicates the name assigned to a second-level division or subdivision within a larger organizational or administrative structure.
-
D.
hasSecondDivision
Indicates that an entity possesses or is associated with a second-level division or subdivision within its structure or hierarchy.
-
E.
secondDivisionNumberOfClubs
Indicates the total number of clubs that participate in the second division of a competition or league.
- F. None of above. chosen
Provenance (4 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615c18f88190ad4f23639d15f337 |
completed | April 29, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 2:45 p.m.