Triple

T338166
Position Surface form Disambiguated ID Type / Status
Subject D Reactor E6773 entity
Predicate operator P179 FINISHED
Object DuPont E37316 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: DuPont | Statement: [D Reactor, operator, DuPont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DuPont
Context triple: [D Reactor, operator, DuPont]
  • A. DuPont chosen
    DuPont is a major American chemical company historically known for pioneering materials science innovations and playing a key role in U.S. industrial and wartime production.
  • B. Dow Chemical Company
    Dow Chemical Company is a major American multinational chemical corporation known for producing a wide range of industrial, agricultural, and consumer chemical products.
  • C. Johnson & Johnson
    Johnson & Johnson is a multinational healthcare conglomerate best known for its pharmaceuticals, medical devices, and consumer health products.
  • D. United Technologies Corporation
    United Technologies Corporation was a major American multinational conglomerate known for its aerospace and building systems businesses, including Pratt & Whitney and Otis Elevator, before merging with Raytheon Company.
  • E. Goodrich Corporation
    Goodrich Corporation was a major American aerospace and defense company known for manufacturing aircraft systems and components before its acquisition by United Technologies Corporation.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eae23b0c819081f8bf9ac26685ab completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d4e56b448190aac66218417e95b8 completed March 1, 2026, 5:55 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.