Triple
T35498463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galway Film Fleadh |
E1025928
|
entity |
| Predicate | GalwayFilmFairFocus |
P44899
|
FINISHED |
| Object | film market |
—
|
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: film market | Statement: [Galway Film Fleadh, GalwayFilmFairFocus, film market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GalwayFilmFairFocus Context triple: [Galway Film Fleadh, GalwayFilmFairFocus, film market]
-
A.
filmFestivalAwardedAt
Indicates that a particular film festival award was given or presented at a specific film festival event or edition.
-
B.
frequentFilmFestival
Indicates that an entity regularly attends or participates in a particular film festival.
-
C.
festivalFocus
chosen
Indicates that a festival is centered around, dedicated to, or thematically focused on a particular subject, activity, or feature.
-
D.
filmFestivalCategory
Indicates the specific category or section of a film festival in which a film is entered, screened, or competes.
-
E.
festivalFeature
Indicates that a festival includes or showcases a particular element, activity, or attraction as one of its features.
- 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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.