Triple
T1811317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fluminense FC |
E40337
|
entity |
| Predicate | internationalTitle |
P32188
|
FINISHED |
| Object | Copa Libertadores champion |
—
|
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: Copa Libertadores champion | Statement: [Fluminense FC, internationalTitle, Copa Libertadores champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalTitle Context triple: [Fluminense FC, internationalTitle, Copa Libertadores champion]
-
A.
titleInEnglish
Indicates that an entity’s title or name is given in the English language.
-
B.
originalLanguageTitle
Indicates the title of a work as it appears in its original language of creation or publication.
-
C.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
D.
titleInItalian
Indicates that one entity is the title of another entity expressed in the Italian language.
-
E.
titles
Indicates that one entity holds a formal title, designation, or name associated with another 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab694d75ac8190a4d61399c04b9fb9 |
completed | March 6, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69aa61d6b8ec8190a1597b2e44ea6534 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab694bf6a08190a02ce2fc979e6701 |
completed | March 6, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:32 p.m.