Triple
T21195433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IIFA Awards |
E522312
|
entity |
| Predicate | ceremonyHeldInDifferentCountries |
P143511
|
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: [IIFA Awards, ceremonyHeldInDifferentCountries, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonyHeldInDifferentCountries Context triple: [IIFA Awards, ceremonyHeldInDifferentCountries, true]
-
A.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
-
B.
locationCountryOfCeremony
Indicates the country in which a particular ceremony takes place or is held.
-
C.
ceremonyKnownAs
Indicates that a particular ceremony is referred to or recognized by a specific name or title.
-
D.
ceremonyHeldNear
Indicates that a ceremony takes place at a location that is geographically close to a specified reference place or object.
-
E.
ceremonyHeldOn
Indicates that a specific ceremony took place on a particular date or day.
- F. None of above. chosen
Provenance (4 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333aa0fc81909b17eb6a26f389ec |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:08 p.m.