Triple

T10628406
Position Surface form Disambiguated ID Type / Status
Subject Aérospatiale SA 315 Lama E250384 entity
Predicate ICAOTypeDesignator P16898 FINISHED
Object LAMA
LAMA is a light utility helicopter model, derived from the Aérospatiale SA 315 Lama, known for its high-altitude performance and use in mountain rescue and transport operations.
 E875701 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: LAMA | Statement: [Aérospatiale SA 315 Lama, ICAOTypeDesignator, LAMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LAMA
Context triple: [Aérospatiale SA 315 Lama, ICAOTypeDesignator, LAMA]
  • A. Lama glama
    Lama glama is the domesticated South American camelid commonly known as the llama, used as a pack animal and for its wool.
  • B. Long Lama
    Long Lama is a small rural town in northern Sarawak, Malaysia, known as a remote upriver settlement accessible mainly by river and logging roads.
  • C. Ang Lhamu
    Ang Lhamu was the wife of famed Sherpa mountaineer Tenzing Norgay, who helped make history with the first confirmed ascent of Mount Everest.
  • D. Sangmélima
    Sangmélima is a town in southern Cameroon known as a local administrative and commercial center in the South Region.
  • E. High Lama
    High Lama is the wise and enigmatic spiritual leader of the hidden utopian lamasery of Shangri-La in James Hilton’s novel "Lost Horizon."
  • 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: LAMA
Triple: [Aérospatiale SA 315 Lama, ICAOTypeDesignator, LAMA]
Generated description
LAMA is a light utility helicopter model, derived from the Aérospatiale SA 315 Lama, known for its high-altitude performance and use in mountain rescue and transport operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LAMA
Target entity description: LAMA is a light utility helicopter model, derived from the Aérospatiale SA 315 Lama, known for its high-altitude performance and use in mountain rescue and transport operations.
  • A. Lama glama
    Lama glama is the domesticated South American camelid commonly known as the llama, used as a pack animal and for its wool.
  • B. Long Lama
    Long Lama is a small rural town in northern Sarawak, Malaysia, known as a remote upriver settlement accessible mainly by river and logging roads.
  • C. Ang Lhamu
    Ang Lhamu was the wife of famed Sherpa mountaineer Tenzing Norgay, who helped make history with the first confirmed ascent of Mount Everest.
  • D. Sangmélima
    Sangmélima is a town in southern Cameroon known as a local administrative and commercial center in the South Region.
  • E. High Lama
    High Lama is the wise and enigmatic spiritual leader of the hidden utopian lamasery of Shangri-La in James Hilton’s novel "Lost Horizon."
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df9228088190bdd57a95d8671618 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96babc290819096c0c914d038ba01 completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d96def8bfc81909d6a5addf724691b completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96fedb18881908570593856f4aade completed April 10, 2026, 9:47 p.m.
Created at: April 8, 2026, 8:58 p.m.