Triple
T28258677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentina women's national football team |
E712520
|
entity |
| Predicate | continentalMembership |
P50380
|
FINISHED |
| Object | CONMEBOL |
—
|
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: CONMEBOL | Statement: [Argentina women's national football team, continentalMembership, CONMEBOL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentalMembership Context triple: [Argentina women's national football team, continentalMembership, CONMEBOL]
-
A.
continentalAffiliation
chosen
Indicates the continent with which an entity (such as a country, region, or organization) is associated or belongs.
-
B.
continentalParticipation
Indicates participation or involvement of an entity in a continent-level event, competition, or activity.
-
C.
continentOfMemberStates
Indicates that a specified continent is the geographic region in which the member states of a given organization or group are located.
-
D.
continentIncludes
Indicates that a particular continent geographically contains or encompasses a specified region, country, or area.
-
E.
continentScope
Indicates that something applies within, is limited to, or is defined at the level of a specific continent.
- 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_69efb5207eb08190827e4c34048030b1 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 27, 2026, 11:10 p.m.