Triple
T33361103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Azucareros |
E854222
|
entity |
| Predicate | teamTypeReferredTo |
P2705
|
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: [Los Azucareros, teamTypeReferredTo, professional football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamTypeReferredTo Context triple: [Los Azucareros, teamTypeReferredTo, professional football club]
-
A.
typeOfTeams
chosen
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
-
B.
teamTypePlayedFor
Indicates the type or category of team (e.g., national, club, youth) that an entity has played for.
-
C.
teamTypeCoached
Indicates the type or category of team that an individual has coached.
-
D.
teamNameType
Indicates the type or category associated with a team's name (e.g., formal name, short name, nickname).
-
E.
teamCodeType
Indicates the classification or category type associated with a particular team code.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:34 a.m.