Triple
T19051551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China at the 2004 Summer Olympics opening ceremony |
E466270
|
entity |
| Predicate | flagBearerSport |
P134899
|
FINISHED |
| Object | basketball |
—
|
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: basketball | Statement: [China at the 2004 Summer Olympics opening ceremony, flagBearerSport, basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagBearerSport Context triple: [China at the 2004 Summer Olympics opening ceremony, flagBearerSport, basketball]
-
A.
flagBearer
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.
olympicFlagBearerForHostNation
Indicates that an individual serves as the official flag bearer for the host nation’s delegation at the Olympic Games.
-
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. 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc031ff881908e8c68c7aaff3733 |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
| PDg | Predicate description generation | batch_69e4c0fc3c4c8190abbfe06e1bd3325c |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:03 p.m.