Triple

T12038853
Position Surface form Disambiguated ID Type / Status
Subject KLAC E286608 entity
Predicate hasSisterStation P15137 FINISHED
Object KOST
KOST is a Los Angeles-based adult contemporary radio station known for its mainstream pop and soft rock programming.
E961473 NE FINISHED

How this triple was built (4 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: KOST | Statement: [KLAC, hasSisterStation, KOST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KOST
Context triple: [KLAC, hasSisterStation, KOST]
  • A. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • B. KOS
    KOS is the three-letter International Olympic Committee country code representing Kosovo in Olympic competitions.
  • C. KUST
    KUST is a public university in Kohat, Pakistan, known for its programs and research in science, technology, and related disciplines.
  • D. Kostik
    Kostik is a common Russian diminutive form of the male given name Konstantin, typically used in informal or affectionate contexts.
  • E. KOK
    KOK is a major Finnish centre-right political party officially known as the National Coalition Party.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KOST
Triple: [KLAC, hasSisterStation, KOST]
Generated description
KOST is a Los Angeles-based adult contemporary radio station known for its mainstream pop and soft rock programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KOST
Target entity description: KOST is a Los Angeles-based adult contemporary radio station known for its mainstream pop and soft rock programming.
  • A. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • B. KOS
    KOS is the three-letter International Olympic Committee country code representing Kosovo in Olympic competitions.
  • C. KUST
    KUST is a public university in Kohat, Pakistan, known for its programs and research in science, technology, and related disciplines.
  • D. Kostik
    Kostik is a common Russian diminutive form of the male given name Konstantin, typically used in informal or affectionate contexts.
  • E. KOK
    KOK is a major Finnish centre-right political party officially known as the National Coalition Party.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69f53d9460bc8190869f2b7d095d98cb completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564b826ec819098906cf735e45093 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.