Triple
T1877619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ketuk tilu |
E39179
|
entity |
| Predicate | audienceParticipation |
P4470
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [ketuk tilu, audienceParticipation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audienceParticipation Context triple: [ketuk tilu, audienceParticipation, yes]
-
A.
participation
chosen
Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
-
B.
invitesParticipationOf
Indicates that one entity actively requests or encourages another entity to take part in an activity, event, or process.
-
C.
speakerParty
Indicates the political party or group affiliation of the entity acting as the speaker in a given context.
-
D.
hasAudienceReception
Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
-
E.
participationModel
Indicates how entities are involved in or contribute to an activity, process, or interaction.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.