Triple
T33288621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Flair Festival |
E852252
|
entity |
| Predicate | hasAftershowParties |
P176453
|
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: [Open Flair Festival, hasAftershowParties, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAftershowParties Context triple: [Open Flair Festival, hasAftershowParties, yes]
-
A.
presidentAfterParty
Indicates that one person became president after another person from the same political party.
-
B.
hasOpeningActs
Indicates that one performer, event, or show includes other performers or acts that appear earlier in the program as preliminary entertainment.
-
C.
mayorAfterParty
Indicates that one entity became mayor following an event or period associated with a particular party.
-
D.
hasComedyShows
Indicates that one entity offers, features, or includes comedy shows associated with another entity.
-
E.
laterAttends
Indicates that one entity attends an event or place at a time later than another referenced attendance.
- 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:32 a.m.