Triple
T19051575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China at the 2004 Summer Olympics opening ceremony |
E466270
|
entity |
| Predicate | participantsWear |
P134904
|
FINISHED |
| Object | team uniforms |
—
|
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 uniforms | Statement: [China at the 2004 Summer Olympics opening ceremony, participantsWear, team uniforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: participantsWear Context triple: [China at the 2004 Summer Olympics opening ceremony, participantsWear, team uniforms]
-
A.
audienceWears
Indicates that members of an audience are wearing or have on a particular item or type of clothing or accessory.
-
B.
typicallyWornBy
Indicates that something (such as an item or garment) is most commonly or characteristically worn by a particular type of person or group.
-
C.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
-
D.
individualWear
Indicates that an individual is wearing or has clothing or an accessory on their body.
-
E.
participantFrom
Indicates that a participant originates from, is associated with, or comes out of a specified source, group, or context.
- 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.