Triple

T6971167
Position Surface form Disambiguated ID Type / Status
Subject FM Rainbow E161600 entity
Predicate hasStation P35 FINISHED
Object FM Rainbow Kolkata E161600 NE 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: FM Rainbow Kolkata | Statement: [FM Rainbow, hasStation, FM Rainbow Kolkata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FM Rainbow Kolkata
Context triple: [FM Rainbow, hasStation, FM Rainbow Kolkata]
  • A. FM Rainbow chosen
    FM Rainbow is a popular network of FM radio channels in India known for its contemporary music, entertainment programs, and youth-oriented content, operated by All India Radio.
  • B. Radio Azadi
    Radio Azadi is the Afghan service of Radio Free Europe/Radio Liberty, providing independent news and information primarily to audiences in Afghanistan.
  • C. Kiss FM
    Kiss FM is a popular radio station brand known for broadcasting contemporary hit music and dance tracks, often featuring prominent DJs and club culture programming.
  • D. Wasafi FM
    Wasafi FM is a Tanzanian radio station associated with the Wasafi media brand founded by musician Diamond Platnumz, known for broadcasting contemporary Bongo Flava and entertainment content.
  • E. CJRU 1280 AM
    CJRU 1280 AM is the campus and community radio station serving Toronto Metropolitan University and the surrounding Toronto area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db38013081908037d23843dccad7 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c794318fb08190a9a89570b2a6999b completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:30 p.m.