Triple
T13805900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada at the Pan American Games |
E331758
|
entity |
| Predicate | flagBearerRole |
P4357
|
FINISHED |
| Object | opening ceremony flag bearer |
—
|
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: opening ceremony flag bearer | Statement: [Canada at the Pan American Games, flagBearerRole, opening ceremony flag bearer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagBearerRole Context triple: [Canada at the Pan American Games, flagBearerRole, opening ceremony flag bearer]
-
A.
flagBearer
chosen
Indicates that one entity serves as the carrier or holder of a flag on behalf of another entity, group, or cause.
-
B.
flagBearerState
Indicates that a state serves as the flag-bearing entity (e.g., the country whose flag is being represented) in relation to another entity or context.
-
C.
flagOrInsignia
Indicates that one entity serves as a flag, emblem, or insignia representing another entity.
-
D.
flagOfficer
Indicates that an individual holds a senior military rank entitled to display a personal flag (e.g., admiral or general).
-
E.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026d98108190acf366a36d97bf92 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.