Triple
T10905368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tricolor de Aço |
E257554
|
entity |
| Predicate | clubTypeReferred |
P19215
|
FINISHED |
| Object | professional football club |
—
|
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: professional football club | Statement: [Tricolor de Aço, clubTypeReferred, professional football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubTypeReferred Context triple: [Tricolor de Aço, clubTypeReferred, professional football club]
-
A.
refersToClubType
chosen
Indicates that one entity is associated with or designates a particular type or category of club.
-
B.
memberClubsType
Indicates that an entity is associated as a member with clubs of a specified type or category.
-
C.
refersToClubFrom
Indicates that one entity is referencing or pointing to a specific club as its related or associated club.
-
D.
clubScope
Indicates that something is within the organizational, functional, or contextual scope of a particular club.
-
E.
clubMembershipType
Indicates the specific category or level of membership that an entity holds within a club.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770656c288190828e71600bb0acd4 |
completed | April 9, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.