Triple
T4377020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Way Out West Festival |
E99031
|
entity |
| Predicate | cityFestival |
P26210
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Way Out West Festival, cityFestival, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityFestival Context triple: [Way Out West Festival, cityFestival, true]
-
A.
mainCityCelebrations
Indicates that major celebratory events or festivities are held in or associated with a particular main city.
-
B.
exampleFestival
Indicates that an entity is an instance or example of a particular festival event or type of festival.
-
C.
festivalFocus
Indicates that a festival is centered around, dedicated to, or thematically focused on a particular subject, activity, or feature.
-
D.
festivalHeldIn
chosen
Indicates that a festival takes place or is hosted at a specific location or venue.
-
E.
festivalSeason
Indicates that a time period is designated or recognized as the season during which a particular festival or set of festivals takes place.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523ed220819090cef1a7933489d9 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.