Triple

T18398770
Position Surface form Disambiguated ID Type / Status
Subject Sports Authority of India E449935 entity
Predicate alsoKnownAs P39 FINISHED
Object SAI 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: SAI | Statement: [Sports Authority of India, alsoKnownAs, SAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAI
Context triple: [Sports Authority of India, alsoKnownAs, SAI]
  • A. SAI chosen
    SAI is India’s apex national sports body responsible for developing, promoting, and managing sports and athletic training across the country.
  • B. SAI Training Centres
    SAI Training Centres are specialized sports facilities across India that provide coaching, infrastructure, and support for athlete development under the Sports Authority of India.
  • C. SAIT
    SAIT is a Canadian polytechnic institute in Calgary, Alberta, offering career-focused technical, trades, and applied degree programs.
  • D. SAJ
    SAJ is a Jewish congregation and community in New York City historically associated with the Reconstructionist movement and progressive Jewish practice.
  • E. SAJ
    SAJ is the Ski Association of Japan, the national governing body for ski sports in Japan, including ski jumping.
  • 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e518499b1481909c5de786c48faeba completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.