Triple
T32092689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina defeated France in opening match |
E819636
|
entity |
| Predicate | teamNicknameOfArgentina |
P173533
|
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: [Argentina defeated France in opening match, teamNicknameOfArgentina, Los Pumas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamNicknameOfArgentina Context triple: [Argentina defeated France in opening match, teamNicknameOfArgentina, Los Pumas]
-
A.
ArgentinaGoals
Indicates the number of goals scored by Argentina in a given match or context.
-
B.
ArgentinaCaptain
Indicates that a person serves as the captain of Argentina’s national team in a particular sport or context.
-
C.
ArgentinaKitColor
Indicates the color scheme used on Argentina’s sports kit or uniform.
-
D.
ArgentinaConfederation
Indicates a relationship in which an entity is associated with, belongs to, or is part of the Argentina Confederation.
-
E.
nameInArgentina
Indicates that an entity is known by a particular name specifically within the context of Argentina.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b63edd4c819093b664b38a69d7c8 |
completed | May 3, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:25 a.m.