Triple

T317682
Position Surface form Disambiguated ID Type / Status
Subject GMC Sierra E7742 entity
Predicate hasTrimLevel P2393 FINISHED
Object AT4X E40912 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: AT4X | Statement: [GMC Sierra, hasTrimLevel, AT4X]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AT4X
Context triple: [GMC Sierra, hasTrimLevel, AT4X]
  • A. AT4 chosen
    AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
  • B. ATAS
    ATAS is the commonly used acronym for the Academy of Television Arts & Sciences, the organization best known for administering the Primetime Emmy Awards.
  • C. AMTK
    AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
  • D. XAMS
    XAMS is the Market Identifier Code (MIC) for Euronext Amsterdam, the primary stock exchange in the Netherlands.
  • E. ATAG
    ATAG (Authoring Tool Accessibility Guidelines) is a W3C specification that defines how software used to create web content should support accessibility both in its user interface and in the content it produces.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee016c408190beab4009653524db completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cafef7d48190b00f577488298605 completed March 1, 2026, 5:13 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.