Triple
T28705894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firaaq |
E729695
|
entity |
| Predicate | filmCertificationCountry |
P149658
|
FINISHED |
| Object | India |
—
|
NE NERFINISHED |
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: India | Statement: [Firaaq, filmCertificationCountry, India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmCertificationCountry Context triple: [Firaaq, filmCertificationCountry, India]
-
A.
filmCertificationIndia
Indicates the official age-appropriateness or content rating assigned to a film by the Indian certification authority.
-
B.
hasFilmCertificationAuthority
Indicates that an entity (such as a film or film-related jurisdiction) is associated with the authority or organization responsible for certifying or rating that film.
-
C.
filmRatingCanada
Indicates the film’s official content rating as assigned by Canadian film classification authorities.
-
D.
filmRatingRegion
chosen
Indicates the region or country for which a film’s content rating or classification is applicable.
-
E.
hasFilmRatingAustralia
Indicates that an entity (typically a film or audiovisual work) has a specific official classification or rating assigned by the Australian film rating system.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f656d333408190aae1211726cefb03 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:45 a.m.