Triple
T19971026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgium at the Olympic Games |
E480072
|
entity |
| Predicate | hasFlagBearerRole |
P4357
|
FINISHED |
| Object | opening ceremony |
—
|
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 | Statement: [Belgium at the Olympic Games, hasFlagBearerRole, opening ceremony]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlagBearerRole Context triple: [Belgium at the Olympic Games, hasFlagBearerRole, opening ceremony]
-
A.
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.
-
B.
flagBearer
chosen
Indicates that one entity serves as the carrier or holder of a flag on behalf of another entity, group, or cause.
-
C.
hasFlagstaff
Indicates that one entity possesses, contains, or is equipped with a flagstaff (a pole or staff for displaying a flag).
-
D.
flagBearerGender
Indicates the gender of the person who serves as the flag bearer.
-
E.
flagBearerSport
Indicates that an entity serves as the flag bearer for a particular country or team in a specified sport or sporting event.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc9694881909a31841702ab9e5f |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.