Triple

T10374952
Position Surface form Disambiguated ID Type / Status
Subject KENW-FM E244481 entity
Predicate sisterStation P15137 FINISHED
Object KENW
KENW is a public television station licensed to Eastern New Mexico University in Portales, New Mexico, serving the High Plains region with PBS and local programming.
 E860820 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: KENW | Statement: [KENW-FM, sisterStation, KENW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KENW
Context triple: [KENW-FM, sisterStation, KENW]
  • A. KEN
    KEN is the official FIFA trigramme used to represent the Kenya national football team in international competitions and records.
  • B. KW
    KW is the postcode area covering Kirkwall and much of the Orkney Islands in northern Scotland.
  • C. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • D. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • E. KE
    KE is the standard abbreviation for "Kommounistiki Epitheorisi," the theoretical and political journal associated with the Communist Party of Greece.
  • 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: KENW
Triple: [KENW-FM, sisterStation, KENW]
Generated description
KENW is a public television station licensed to Eastern New Mexico University in Portales, New Mexico, serving the High Plains region with PBS and local programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KENW
Target entity description: KENW is a public television station licensed to Eastern New Mexico University in Portales, New Mexico, serving the High Plains region with PBS and local programming.
  • A. KEN
    KEN is the official FIFA trigramme used to represent the Kenya national football team in international competitions and records.
  • B. KW
    KW is the postcode area covering Kirkwall and much of the Orkney Islands in northern Scotland.
  • C. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • D. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • E. KE
    KE is the standard abbreviation for "Kommounistiki Epitheorisi," the theoretical and political journal associated with the Communist Party of Greece.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e98106d081909d28e30d2fff6902 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7956ca1e08190880342b22a55783f completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, 12:02 p.m.