Triple
T24579021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russia national under-19 football team |
E608193
|
entity |
| Predicate | fifaAffiliationOfAssociation |
P156414
|
FINISHED |
| Object | FIFA |
—
|
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: FIFA | Statement: [Russia national under-19 football team, fifaAffiliationOfAssociation, FIFA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaAffiliationOfAssociation Context triple: [Russia national under-19 football team, fifaAffiliationOfAssociation, FIFA]
-
A.
fifaAffiliationCountry
Indicates that a country is affiliated with or recognized by FIFA as a member football association.
-
B.
fifaAffiliationThrough
Indicates a formal connection or membership between an entity and FIFA that is established or mediated through an intermediate organization, agreement, or mechanism.
-
C.
fifaAffiliationDate
Indicates the date on which an entity formally became affiliated with FIFA.
-
D.
hasFootballAssociation
Indicates that there exists an affiliation or formal relationship between an entity and a football (soccer) association or governing body.
-
E.
associationFootballClubIn
Indicates that an association football (soccer) club is located in or based in a specified place or region.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97cd0d4819091bf0841fa8e108a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.