Triple
T21815311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potros de Hierro |
E538590
|
entity |
| Predicate | teamTypeDescribed |
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: [Potros de Hierro, teamTypeDescribed, professional football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamTypeDescribed Context triple: [Potros de Hierro, teamTypeDescribed, professional football club]
-
A.
typeOfTeams
chosen
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
-
B.
teamTypeCoached
Indicates the type or category of team that an individual has coached.
-
C.
teamNameType
Indicates the type or category associated with a team's name (e.g., formal name, short name, nickname).
-
D.
teamCodeType
Indicates the classification or category type associated with a particular team code.
-
E.
teamNumberType
Indicates the type or category assigned to a team’s identifying number within a given system or context.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc99bbc8190bf074930f361af7d |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.