Triple

T15882502
Position Surface form Disambiguated ID Type / Status
Subject Ernest Bateman Black E385106 entity
Predicate coFounded P104 FINISHED
Object Black & Veatch E79705 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: Black & Veatch | Statement: [Ernest Bateman Black, coFounded, Black & Veatch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black & Veatch
Context triple: [Ernest Bateman Black, coFounded, Black & Veatch]
  • A. Black & Veatch chosen
    Black & Veatch is a global engineering, consulting, and construction company specializing in infrastructure development in sectors such as energy, water, and telecommunications.
  • B. CH2M Hill
    CH2M Hill was a global engineering and construction firm known for its large-scale infrastructure, environmental, and transportation projects.
  • C. AECOM
    AECOM is a global infrastructure consulting firm that provides architecture, engineering, construction management, and related professional services for large-scale public and private projects.
  • D. Bechtel Corporation
    Bechtel Corporation is a major American engineering, construction, and project management company known for large-scale infrastructure and energy projects worldwide.
  • E. Xylem Inc.
    Xylem Inc. is a global water technology company that designs and manufactures equipment and solutions for water and wastewater transport, treatment, and testing.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156173e248190901641d838ecb40f completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95466e08190a967114821651e60 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.