Triple

T12038852
Position Surface form Disambiguated ID Type / Status
Subject KLAC E286608 entity
Predicate hasSisterStation P15137 FINISHED
Object KIIS-FM E517751 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: KIIS-FM | Statement: [KLAC, hasSisterStation, KIIS-FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KIIS-FM
Context triple: [KLAC, hasSisterStation, KIIS-FM]
  • A. Kiss FM chosen
    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.
  • B. KAKR
    KAKR is the ICAO airport code for Akron Fulton International Airport, a public airport serving Akron, Ohio, in the United States.
  • C. KJYO
    KJYO is the ICAO airport code for Leesburg Executive Airport, a public general aviation airport serving Leesburg, Virginia, in the United States.
  • D. KCSI
    KCSI is the post-nominal title for a Knight Commander of the Order of the Star of India, a former British order of chivalry associated with colonial India.
  • E. KMSN
    KMSN is the ICAO airport code for Dane County Regional Airport serving Madison, Wisconsin, in the United States.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040a8be881908f4841145a7b4e86 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d9937a08190b2f606a1e55733b5 completed May 1, 2026, 12:33 p.m.
Created at: April 8, 2026, 9:47 p.m.