Triple

T7769810
Position Surface form Disambiguated ID Type / Status
Subject Bell 206 E179039 entity
Predicate marketedAs P1395 FINISHED
Object LongRanger
LongRanger is an extended, larger-capacity variant of the Bell 206 helicopter designed for utility, corporate, and light transport roles.
E687575 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: LongRanger | Statement: [Bell 206, marketedAs, LongRanger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LongRanger
Context triple: [Bell 206, marketedAs, LongRanger]
  • A. Longo
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • B. Long Reth
    Long Reth is an alternative name used by Nuon Chea, the former chief ideologue and "Brother Number Two" of Cambodia's Khmer Rouge regime.
  • C. Longperrier
    Longperrier is a small French commune located in the Île-de-France region in north-central France.
  • D. Lange
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • E. Trailblazer
    Trailblazer is a business and leadership book by Salesforce CEO Marc Benioff that explores how companies can drive innovation and growth while prioritizing values, social impact, and stakeholder capitalism.
  • 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: LongRanger
Triple: [Bell 206, marketedAs, LongRanger]
Generated description
LongRanger is an extended, larger-capacity variant of the Bell 206 helicopter designed for utility, corporate, and light transport roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LongRanger
Target entity description: LongRanger is an extended, larger-capacity variant of the Bell 206 helicopter designed for utility, corporate, and light transport roles.
  • A. Longo
    Longo is an Italian surname borne by various notable figures in politics, arts, and sports.
  • B. Long Reth
    Long Reth is an alternative name used by Nuon Chea, the former chief ideologue and "Brother Number Two" of Cambodia's Khmer Rouge regime.
  • C. Longperrier
    Longperrier is a small French commune located in the Île-de-France region in north-central France.
  • D. Lange
    Lange is a German surname borne by numerous notable individuals across fields such as science, politics, arts, and sports.
  • E. Trailblazer
    Trailblazer is a business and leadership book by Salesforce CEO Marc Benioff that explores how companies can drive innovation and growth while prioritizing values, social impact, and stakeholder capitalism.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c70438ca2481909114b0c434717109 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7e7818c8190920ea2bde6343968 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8698a388190a47d6636fe5d2bb4 completed March 29, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_69c8c8f3873481908ef6efb2e39272db completed March 29, 2026, 6:38 a.m.
Created at: March 27, 2026, 4:11 p.m.