Triple
T19986579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anup Kumar |
E493947
|
entity |
| Predicate | league |
P888
|
FINISHED |
| Object | Pro Kabaddi League |
—
|
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: Pro Kabaddi League | Statement: [Anup Kumar, league, Pro Kabaddi League]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pro Kabaddi League Context triple: [Anup Kumar, league, Pro Kabaddi League]
-
A.
Pro Kabaddi League
chosen
The Pro Kabaddi League is India’s premier franchise-based kabaddi competition that popularized the sport with a televised, fast-paced league format.
-
B.
Kabaddi
Kabaddi is a high-intensity contact team sport that originated in ancient India and is now widely played across South Asia and beyond.
-
C.
Indian Premier League
The Indian Premier League is a professional Twenty20 cricket league in India featuring franchise teams representing various cities and regions, known for its high-profile players, intense competition, and massive global viewership.
-
D.
IPL
IPL is the three-letter IATA airport code for Imperial County Airport in California, United States.
-
E.
IPL
IPL is a French biomedical research institute in Lille known for its work in infectious diseases, immunology, and public health.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d16f60c81909ba02c0a3429ecae |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:29 p.m.