Triple
T21329334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pablo Mastroeni |
E525854
|
entity |
| Predicate | nationalTeamSport |
P143743
|
FINISHED |
| Object | association football |
—
|
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: association football | Statement: [Pablo Mastroeni, nationalTeamSport, association football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalTeamSport Context triple: [Pablo Mastroeni, nationalTeamSport, association football]
-
A.
nationalTeamFor
Indicates that one entity serves as the national team representing another entity, typically a country or nation, in a given sport or activity.
-
B.
nationalTeamType
Indicates the specific category or level of a national team (e.g., senior, youth, futsal) with which an entity is associated.
-
C.
nationalTeamSystem
Indicates a relationship where an entity is part of, governed by, or operates within a specific national team structure or organizational system.
-
D.
nationalFootballTeam
Indicates that one entity is the official football (soccer) team representing the other entity at the national level.
-
E.
nationalTeamCode
Indicates the code that identifies the national team associated with an entity.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4f95fc819087eb32dca7da689a |
completed | April 21, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:42 p.m.