Triple
T26929129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Club Atlético Huracán |
E678164
|
entity |
| Predicate | continentalParticipation |
P168071
|
FINISHED |
| Object | Copa Libertadores |
—
|
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: Copa Libertadores | Statement: [Club Atlético Huracán, continentalParticipation, Copa Libertadores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentalParticipation Context triple: [Club Atlético Huracán, continentalParticipation, Copa Libertadores]
-
A.
participatingContinent
Indicates that a continent is involved as a participant in a specified event, process, or relationship.
-
B.
continentInvolved
Indicates that a particular continent participates in, is affected by, or plays a role in a specified event, process, or relationship.
-
C.
continentalAffiliation
Indicates the continent with which an entity (such as a country, region, or organization) is associated or belongs.
-
D.
continentScope
Indicates that something applies within, is limited to, or is defined at the level of a specific continent.
-
E.
continentalPortion
Indicates that one entity represents the part or portion of a continent to which the other entity belongs or is associated.
- 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 27, 2026, 6:11 a.m.