Triple
T5737807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajiv Gandhi Khel Ratna |
E126541
|
entity |
| Predicate | firstRecipientSport |
P34312
|
FINISHED |
| Object | chess |
—
|
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: chess | Statement: [Rajiv Gandhi Khel Ratna, firstRecipientSport, chess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstRecipientSport Context triple: [Rajiv Gandhi Khel Ratna, firstRecipientSport, chess]
-
A.
firstRecipientTeam
Indicates the team that initially receives something (such as an item, message, or responsibility) before any others.
-
B.
originalSport
chosen
Indicates that one sport is the initial or primary sport associated with an entity, often before any change, adaptation, or transition to another sport.
-
C.
primarySport
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
-
D.
sponsorSport
Indicates that one entity financially or materially supports a sport or sporting activity, typically in exchange for promotion or association.
-
E.
firstForCountry
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255c8c308190821f968ec41c5078 |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.