Triple
T12680404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq Football Association |
E302928
|
entity |
| Predicate | overseesCoachingEducation |
P93080
|
FINISHED |
| Object | Iraqi football coaches |
—
|
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: Iraqi football coaches | Statement: [Iraq Football Association, overseesCoachingEducation, Iraqi football coaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overseesCoachingEducation Context triple: [Iraq Football Association, overseesCoachingEducation, Iraqi football coaches]
-
A.
hasCoachingStructure
chosen
Indicates that one entity provides an organized coaching framework, system, or arrangement for another entity.
-
B.
coachingSpecialty
Indicates that a coach focuses on or is specialized in a particular area, topic, or type of coaching.
-
C.
coachSchool
Indicates that a person serves as a coach for a particular school or educational institution.
-
D.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
E.
conferenceCoach
Indicates a person who provides guidance, training, or mentorship to participants in the context of a conference or similar professional gathering.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b32dbc81908101fc5f07e26ed3 |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:21 p.m.