Triple

T8680355
Position Surface form Disambiguated ID Type / Status
Subject Litening targeting pod E206019 entity
Predicate hasVariant P455 FINISHED
Object Litening AT
Litening AT is an advanced variant of the Litening targeting pod, providing enhanced precision targeting, navigation, and surveillance capabilities for military aircraft.
 E751094 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: Litening AT | Statement: [Litening targeting pod, hasVariant, Litening AT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Litening AT
Context triple: [Litening targeting pod, hasVariant, Litening AT]
  • A. LTN
    LTN is the IATA airport code for London Luton Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • B. ATZ
    ATZ is the IATA airport code for Assiut Airport, a regional airport serving the city of Assiut in Egypt.
  • C. AT4
    AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
  • D. Luft
    Luft is a surname most notably associated with Sid Luft, the American film producer and third husband of entertainer Judy Garland.
  • E. Litzlitz
    Litzlitz is a language of Vanuatu, also known as Naman, spoken by a small community on the island of Malakula.
  • 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: Litening AT
Triple: [Litening targeting pod, hasVariant, Litening AT]
Generated description
Litening AT is an advanced variant of the Litening targeting pod, providing enhanced precision targeting, navigation, and surveillance capabilities for military aircraft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Litening AT
Target entity description: Litening AT is an advanced variant of the Litening targeting pod, providing enhanced precision targeting, navigation, and surveillance capabilities for military aircraft.
  • A. LTN
    LTN is the IATA airport code for London Luton Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • B. ATZ
    ATZ is the IATA airport code for Assiut Airport, a regional airport serving the city of Assiut in Egypt.
  • C. AT4
    AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
  • D. Luft
    Luft is a surname most notably associated with Sid Luft, the American film producer and third husband of entertainer Judy Garland.
  • E. Litzlitz
    Litzlitz is a language of Vanuatu, also known as Naman, spoken by a small community on the island of Malakula.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49fa6040819084cb3fe09cd0f109 completed March 31, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3b2be2081908a8744b77c4753f2 completed April 2, 2026, 10:54 p.m.
NEDg Description generation batch_69cef521010081908815779c0bd2aac9 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef727ea088190bf40eaf5424ae864 completed April 2, 2026, 11:09 p.m.
Created at: March 30, 2026, 6:32 p.m.