Triple

T1707356
Position Surface form Disambiguated ID Type / Status
Subject Eurocopter Tiger E36900 entity
Predicate variant P4680 FINISHED
Object Tiger HAP
Tiger HAP is a French multi-role attack helicopter variant of the Eurocopter Tiger, optimized for armed reconnaissance and close air support missions.
E192350 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: Tiger HAP | Statement: [Eurocopter Tiger, variant, Tiger HAP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiger HAP
Context triple: [Eurocopter Tiger, variant, Tiger HAP]
  • A. Hawk T-series
    The Hawk T-series is a family of British single-engine jet-powered advanced trainer and light attack aircraft widely used for pilot training and aerobatic display teams.
  • B. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • C. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • D. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • E. Tiges
    Tiges is a popular nickname for the Richmond Football Club, an Australian rules football team in the AFL.
  • 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: Tiger HAP
Triple: [Eurocopter Tiger, variant, Tiger HAP]
Generated description
Tiger HAP is a French multi-role attack helicopter variant of the Eurocopter Tiger, optimized for armed reconnaissance and close air support missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tiger HAP
Target entity description: Tiger HAP is a French multi-role attack helicopter variant of the Eurocopter Tiger, optimized for armed reconnaissance and close air support missions.
  • A. Hawk T-series
    The Hawk T-series is a family of British single-engine jet-powered advanced trainer and light attack aircraft widely used for pilot training and aerobatic display teams.
  • B. Hap
    Hap is the nickname of Henry "Hap" Arnold, a pioneering U.S. Army Air Forces general and key architect of American air power during World War II.
  • C. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • D. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • E. Tiges
    Tiges is a popular nickname for the Richmond Football Club, an Australian rules football team in the AFL.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62f6fc9c8190b61cc9872cc2adc0 completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ad849648190b2bb0e2a50cd6c75 completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957778a0819080f7fee35f5d8ed5 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97aa308c81909f245a2133fc471b completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.