Triple

T11956102
Position Surface form Disambiguated ID Type / Status
Subject Garrett TFE731-2 E284557 entity
Predicate manufacturer P490 FINISHED
Object Garrett AiResearch E787798 NE FINISHED

How this triple was built (2 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: Garrett AiResearch | Statement: [Garrett TFE731-2, manufacturer, Garrett AiResearch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garrett AiResearch
Context triple: [Garrett TFE731-2, manufacturer, Garrett AiResearch]
  • A. Garrett AiResearch chosen
    Garrett AiResearch was an American aerospace company best known for designing and manufacturing turboprop and turbojet engines and related aircraft systems.
  • B. Element AI
    Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
  • C. Wheatley
    Wheatley is the surname given to Phillis Wheatley, the first published African American female poet and an important figure in early American literature.
  • D. Wheatley
    Wheatley is a small community in southwestern Ontario, Canada, known for its proximity to Lake Erie and Wheatley Provincial Park.
  • E. Wheatley
    Wheatley is a large village and civil parish in South Oxfordshire, England, known for its historic center and proximity to Oxford.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90366fda8819083168c93abad27d4 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459175f808190974ac70431f35c74 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.