Triple

T6973825
Position Surface form Disambiguated ID Type / Status
Subject ARM Corporate E161664 entity
Predicate shortName P43 FINISHED
Object ARM Corporate E161664 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: ARM Corporate | Statement: [ARM Corporate, shortName, ARM Corporate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARM Corporate
Context triple: [ARM Corporate, shortName, ARM Corporate]
  • A. ARM Corporate chosen
    ARM Corporate is the corporate and administrative division of African Rainbow Minerals, overseeing the company’s strategic, financial, and governance functions.
  • B. Lambda Corporation
    Lambda Corporation is a company historically associated with physicist Hugh Everett III, known for his work on the many-worlds interpretation of quantum mechanics.
  • C. Marcus Corporation
    Marcus Corporation is a U.S.-based company best known for its movie theatre and hospitality businesses, including operating cinema chains and hotels.
  • D. Carrier Corporation
    Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
  • E. Enterprise Corps
    Enterprise Corps is a subordinate organization within the U.S. Space Force’s Space Systems Command focused on developing, acquiring, and sustaining space capabilities and systems.
  • 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db3aad108190b19df2d21f5ce168 completed March 27, 2026, 7:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761a6bbdc81908c96871f151db279 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.