Triple

T8317783
Position Surface form Disambiguated ID Type / Status
Subject King’s Shropshire Light Infantry E194748 entity
Predicate nickname P55 FINISHED
Object KSLI
KSLI is the abbreviation commonly used for the King’s Shropshire Light Infantry, a historic infantry regiment of the British Army.
 E725729 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: KSLI | Statement: [King’s Shropshire Light Infantry, nickname, KSLI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KSLI
Context triple: [King’s Shropshire Light Infantry, nickname, KSLI]
  • 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. 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.
  • C. KSLC
    KSLC is the ICAO airport code for Salt Lake City International Airport, a major air transportation hub serving Salt Lake City, Utah.
  • D. KLSV
    KLSV is the ICAO airport code for Nellis Air Force Base, a major United States Air Force installation near Las Vegas, Nevada.
  • 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: KSLI
Triple: [King’s Shropshire Light Infantry, nickname, KSLI]
Generated description
KSLI is the abbreviation commonly used for the King’s Shropshire Light Infantry, a historic infantry regiment of the British Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KSLI
Target entity description: KSLI is the abbreviation commonly used for the King’s Shropshire Light Infantry, a historic infantry regiment of the British Army.
  • 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. 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.
  • C. KSLC
    KSLC is the ICAO airport code for Salt Lake City International Airport, a major air transportation hub serving Salt Lake City, Utah.
  • D. KLSV
    KLSV is the ICAO airport code for Nellis Air Force Base, a major United States Air Force installation near Las Vegas, Nevada.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f630ea881909fb639383e60aee9 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd958cf0808190af59e36c35b91e58 completed April 1, 2026, 10 p.m.
NEDg Description generation batch_69cdab5f30b0819080136084d81774a9 completed April 1, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69cdb2d365e48190a766ca959ce56b19 completed April 2, 2026, 12:05 a.m.
Created at: March 30, 2026, 5:55 p.m.