Triple
T36654045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio José Amalfitani |
E904940
|
entity |
| Predicate | usedByNationalTeamNickname |
P186258
|
FINISHED |
| Object | Los Pumas |
—
|
NE NERFINISHED |
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: Los Pumas | Statement: [Estadio José Amalfitani, usedByNationalTeamNickname, Los Pumas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByNationalTeamNickname Context triple: [Estadio José Amalfitani, usedByNationalTeamNickname, Los Pumas]
-
A.
nicknameOfNationalTeam
chosen
Indicates that one entity is the commonly used nickname of a particular national sports team.
-
B.
includesNationalTeam
Indicates that an entity’s composition or membership list contains a specified national team.
-
C.
previousNationalTeamEntity
Indicates that an entity previously represented a particular national team before its current or later affiliation.
-
D.
nationalTeamType
Indicates the specific category or level of a national team (e.g., senior, youth, futsal) with which an entity is associated.
-
E.
nationalTeamFor
Indicates that one entity serves as the national team representing another entity, typically a country or nation, in a given sport or activity.
- 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_69f76e6e3b908190970251b30f76ad71 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: May 3, 2026, 4:11 p.m.