Triple
T27740394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India's Next Top Model |
E701835
|
entity |
| Predicate | primaryBroadcastLanguage |
P3314
|
FINISHED |
| Object | Hindi |
—
|
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: Hindi | Statement: [India's Next Top Model, primaryBroadcastLanguage, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryBroadcastLanguage Context triple: [India's Next Top Model, primaryBroadcastLanguage, Hindi]
-
A.
languageOfPrimaryBroadcasts
chosen
Indicates the language in which an entity’s primary broadcasts are delivered.
-
B.
primaryLanguageOf
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
C.
primaryFestivalLanguage
Indicates that a particular language is the main or officially designated language used for communication and activities at a festival.
-
D.
primaryLanguageIn
Indicates that a specified language is the main or official language used within a particular place, organization, or context.
-
E.
primaryVocalLanguage
Indicates the main spoken language typically used by an entity for vocal communication.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff7eb7189c81909a8f73fbc4c48e02 |
completed | May 9, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69ff7e54e11081908fb5ce10c5aa7b53 |
completed | May 9, 2026, 6:35 p.m. |
Created at: April 27, 2026, 4:10 p.m.