Triple

T9119519
Position Surface form Disambiguated ID Type / Status
Subject Hermosillo Stamping and Assembly E218807 entity
Predicate hasFormerOwnerBrand P1501 FINISHED
Object Mercury E6367 NE FINISHED

How this triple was built (3 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: Mercury | Statement: [Hermosillo Stamping and Assembly, hasFormerOwnerBrand, Mercury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mercury
Context triple: [Hermosillo Stamping and Assembly, hasFormerOwnerBrand, Mercury]
  • A. Mercury chosen
    Mercury was an American automobile marque of the Ford Motor Company known for producing mid-priced cars positioned between Ford and Lincoln.
  • B. Mercury
    Mercury is the smallest and innermost planet in our Solar System, known for its extreme temperature variations and heavily cratered surface.
  • C. Mercury
    Mercury is the Roman god of commerce, communication, and travel, often depicted as a swift messenger of the gods.
  • D. Mercuri
    Mercuri is the surname of Brazilian singer, songwriter, and performer Daniela Mercury, a prominent figure in axé and pop music.
  • E. Merkur
    Merkur was a short-lived automotive marque created by Ford in the 1980s to sell European-designed performance and luxury cars in the North American market.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFormerOwnerBrand
Context triple: [Hermosillo Stamping and Assembly, hasFormerOwnerBrand, Mercury]
  • A. formerBrand chosen
    Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
  • B. previouslyPossessedBy
    Indicates that an entity was owned or possessed by another entity at some time in the past, but is not necessarily possessed by that entity now.
  • C. hasFormerLogo
    Indicates that an entity is associated with a logo it used in the past but no longer uses.
  • D. usedBrand
    Indicates that an entity has utilized, applied, or operated a particular brand in some context.
  • E. previouslyLicensedAs
    Indicates that an entity held a license under a different name or status at some earlier time.
  • F. None of above.

Provenance (4 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a902e08190a7eb4728f32b9e1d completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030867d248190ad5b5ba3047426bb completed April 3, 2026, 9:26 p.m.
PD Predicate disambiguation batch_69cc66003e3c819091e1e42c9cf7c781 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:17 p.m.