Triple
T29668978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Sports Awards in India |
E750612
|
entity |
| Predicate | DronacharyaAwardRecognizes |
P168004
|
FINISHED |
| Object | outstanding coaches in sports |
—
|
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: outstanding coaches in sports | Statement: [National Sports Awards in India, DronacharyaAwardRecognizes, outstanding coaches in sports]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DronacharyaAwardRecognizes Context triple: [National Sports Awards in India, DronacharyaAwardRecognizes, outstanding coaches in sports]
-
A.
rankInGallantryAwards
Indicates the position or level an entity holds within a hierarchy or ordering of gallantry awards.
-
B.
awardEstablishedInHisHonorBy
Indicates that an award was created in honor of a specific person by a particular individual or organization.
-
C.
lifetimeAward
Indicates that an entity has received a special honor or recognition for achievements spanning the entirety or a significant portion of their career or life.
-
D.
rankInIndiaCivilianHonours
Indicates the position or level of a civilian honour within the hierarchy of civilian awards in India.
-
E.
awardClass
Indicates the classification or category assigned to an award within an award-giving system.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f671c5d3308190b78b458b37ee5e47 |
completed | May 2, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 7:03 p.m.