Triple

T18254031
Position Surface form Disambiguated ID Type / Status
Subject FG Wilson E437173 entity
Predicate brandOf P1500 FINISHED
Object Caterpillar Inc. 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: Caterpillar Inc. | Statement: [FG Wilson, brandOf, Caterpillar Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caterpillar Inc.
Context triple: [FG Wilson, brandOf, Caterpillar Inc.]
  • A. Caterpillar Inc. (offices)
    Caterpillar Inc. (offices) refers to the corporate facilities and administrative locations of Caterpillar Inc., the American multinational manufacturer of construction and mining equipment, engines, and industrial turbines.
  • B. Bechtel Corporation
    Bechtel Corporation is a major American engineering, construction, and project management company known for large-scale infrastructure and energy projects worldwide.
  • C. Crane Industries
    Crane Industries is a powerful, wealthy fictional conglomerate central to the drama and conflicts in the soap opera "Passions."
  • D. Caterpillar
    The Caterpillar is a wise, enigmatic blue insect who serves as a cryptic advisor to Alice in Tim Burton’s 2010 fantasy film "Alice in Wonderland."
  • E. Caterpillar chosen
    Caterpillar is a leading American manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and locomotives.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd82f81c81909ad4455954bd8caa completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.