Triple

T18957634
Position Surface form Disambiguated ID Type / Status
Subject Bell 47 E463820 entity
Predicate militaryDesignation P7137 FINISHED
Object HTL
HTL is the U.S. Navy’s military designation for certain variants of the Bell 47 light utility and training helicopter.
E1351184 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: HTL | Statement: [Bell 47, militaryDesignation, HTL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HTL
Context triple: [Bell 47, militaryDesignation, HTL]
  • A. HRLT
    HRLT is an acronym commonly used to refer to a Human Rights Liaison Team, typically a specialized group that coordinates and facilitates human rights-related activities within an organization or mission.
  • B. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • C. HLC
    HLC is the three-letter National Rail station code for Helensburgh Central railway station in Scotland.
  • D. HTWK
    HTWK is the commonly used abbreviation for the Leipzig University of Applied Sciences, a practice-oriented higher education institution in Leipzig, Germany.
  • E. HIL
    HIL is the IATA airport code for Hillston Airport, a regional airfield serving the area around Hillston, New South Wales, Australia.
  • 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: HTL
Triple: [Bell 47, militaryDesignation, HTL]
Generated description
HTL is the U.S. Navy’s military designation for certain variants of the Bell 47 light utility and training helicopter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HTL
Target entity description: HTL is the U.S. Navy’s military designation for certain variants of the Bell 47 light utility and training helicopter.
  • A. HRLT
    HRLT is an acronym commonly used to refer to a Human Rights Liaison Team, typically a specialized group that coordinates and facilitates human rights-related activities within an organization or mission.
  • B. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • C. HLC
    HLC is the three-letter National Rail station code for Helensburgh Central railway station in Scotland.
  • D. HTWK
    HTWK is the commonly used abbreviation for the Leipzig University of Applied Sciences, a practice-oriented higher education institution in Leipzig, Germany.
  • E. HIL
    HIL is the IATA airport code for Hillston Airport, a regional airfield serving the area around Hillston, New South Wales, Australia.
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5cee8348190b6506b10aed6c58a completed April 20, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059fd732f8819087374b0157bb693e completed May 14, 2026, 10:11 a.m.
NEDg Description generation batch_6a05a161c8e88190a6f9c9abe3314487 completed May 14, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a05a1cb500481908608daee7537dd0c completed May 14, 2026, 10:19 a.m.
Created at: April 10, 2026, noon