Triple
T34717768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syria at International Mathematical Olympiad |
E1000824
|
entity |
| Predicate | teamOfficials |
P181539
|
FINISHED |
| Object | team leader |
—
|
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: team leader | Statement: [Syria at International Mathematical Olympiad, teamOfficials, team leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamOfficials Context triple: [Syria at International Mathematical Olympiad, teamOfficials, team leader]
-
A.
teamChampionHeadCoach
Indicates that a coach served as the head coach of a team during a season or event in which that team won a championship.
-
B.
matchOfficialsAppointedBy
Indicates that certain officials have been formally designated or assigned by a specified authority or organization to oversee or manage a particular match.
-
C.
teamCaptain
Indicates that one entity serves as the captain or designated leader of a particular team.
-
D.
teamRepresentation
Indicates that one entity serves as the official representative or embodiment of a team in a given context or activity.
-
E.
playerCoachTeam
Indicates a relationship where a player is coached by a specific coach while playing for a particular team.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.