Triple

T20196069
Position Surface form Disambiguated ID Type / Status
Subject Music and the Spoken Word E493088 entity
Predicate originalBroadcaster P833 FINISHED
Object KSL
KSL is a Salt Lake City–based radio and television station historically known for broadcasting LDS Church programming and local news.
E1416501 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: KSL | Statement: [Music and the Spoken Word, originalBroadcaster, KSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KSL
Context triple: [Music and the Spoken Word, originalBroadcaster, KSL]
  • A. KSL
    KSL is the primary sign language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • B. KSLI
    KSLI is the abbreviation commonly used for the King’s Shropshire Light Infantry, a historic infantry regiment of the British Army.
  • C. KSLK
    KSLK is the ICAO airport code for Adirondack Regional Airport, a public airport serving the Saranac Lake and Lake Placid region in New York.
  • D. KSLN
    KSLN is the ICAO airport code for Salina Regional Airport, a public airport serving Salina, Kansas, in the United States.
  • E. KLS
    KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
  • 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: KSL
Triple: [Music and the Spoken Word, originalBroadcaster, KSL]
Generated description
KSL is a Salt Lake City–based radio and television station historically known for broadcasting LDS Church programming and local news.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KSL
Target entity description: KSL is a Salt Lake City–based radio and television station historically known for broadcasting LDS Church programming and local news.
  • A. KSL
    KSL is the primary sign language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • B. KSLI
    KSLI is the abbreviation commonly used for the King’s Shropshire Light Infantry, a historic infantry regiment of the British Army.
  • C. KSLK
    KSLK is the ICAO airport code for Adirondack Regional Airport, a public airport serving the Saranac Lake and Lake Placid region in New York.
  • D. KSLN
    KSLN is the ICAO airport code for Salina Regional Airport, a public airport serving Salina, Kansas, in the United States.
  • E. KLS
    KLS is a research center at Kiel University focused on interdisciplinary life science studies, including molecular biology, medicine, and environmental sciences.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad8b3cc8190aa9c9c79c552002a completed April 20, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c8a440c819089f0d90aacc640b5 completed May 16, 2026, 9:44 a.m.
NEDg Description generation batch_6a083d95db488190b2ffafc7e0d874dc completed May 16, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_6a083e12d31481909295a5dc4e47b14b completed May 16, 2026, 9:51 a.m.
Created at: April 11, 2026, 11:37 p.m.