Triple

T8014025
Position Surface form Disambiguated ID Type / Status
Subject Ineos E186565 entity
Predicate hasSubsidiary P254 FINISHED
Object Ineos Enterprises E186565 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: Ineos Enterprises | Statement: [Ineos, hasSubsidiary, Ineos Enterprises]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ineos Enterprises
Context triple: [Ineos, hasSubsidiary, Ineos Enterprises]
  • A. Ineos chosen
    Ineos is a large multinational chemicals and energy company based in the United Kingdom, known for its extensive portfolio of petrochemical, oil, gas, and manufacturing operations worldwide.
  • B. Celanese Corporation
    Celanese Corporation is a global specialty materials and chemical company known for producing engineered materials, acetyl products, and other advanced polymers for industrial and consumer applications.
  • C. Motiva Enterprises
    Motiva Enterprises is a U.S.-based oil refining and marketing company best known for operating one of the largest refineries in North America.
  • D. Olin Corporation
    Olin Corporation is a U.S.-based manufacturer best known for its production of chlor-alkali products, epoxy materials, and Winchester ammunition.
  • E. Arkema
    Arkema is a French multinational specialty chemicals and advanced materials company known for its innovations in adhesives, coatings, and performance polymers.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df0f4bc8190ae87586972018085 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c1f76881909ad6d7777090f2e2 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:19 p.m.