Triple

T21334079
Position Surface form Disambiguated ID Type / Status
Subject Fighting Island E525990 entity
Predicate managedBy P86 FINISHED
Object BASF Canada NE NERFINISHED

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: BASF Canada | Statement: [Fighting Island, managedBy, BASF Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BASF Canada
Context triple: [Fighting Island, managedBy, BASF Canada]
  • A. BASF chosen
    BASF is a major German chemical company and one of the world's largest producers of chemicals and related products.
  • B. NOVA Chemicals
    NOVA Chemicals is a major North American petrochemical company known for producing plastics and chemical products, with significant operations in Canada’s Chemical Valley industrial region.
  • C. LyondellBasell
    LyondellBasell is one of the world’s largest plastics, chemicals, and refining companies, known for producing polyolefins and advanced petrochemical products used in a wide range of industries.
  • D. Lanxess
    Lanxess is a German specialty chemicals company known for producing high-performance plastics, rubber, and chemical intermediates for various industrial applications.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5ba65c4081908b93d5dc6a937cb6 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 4:43 p.m.