Triple
T14868889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Feature Film Competition |
E349687
|
entity |
| Predicate | hostFestivalSectionType |
P115360
|
FINISHED |
| Object | main competitive section |
—
|
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: main competitive section | Statement: [International Feature Film Competition, hostFestivalSectionType, main competitive section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostFestivalSectionType Context triple: [International Feature Film Competition, hostFestivalSectionType, main competitive section]
-
A.
festivalTypeHosted
Indicates that a particular location or organizer hosts festivals of a specified type.
-
B.
hostsTypeOfEvent
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
C.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
D.
hostedByAsInterestsSection
Indicates that something is presented or organized as an "Interests" section by a particular host or entity.
-
E.
hasFestivalSection
chosen
Indicates that something includes or is associated with a specific section or category within a festival.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5776b848190bfe3a06ff261dc31 |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.