Triple

T17970587
Position Surface form Disambiguated ID Type / Status
Subject CH2M Hill E449327 entity
Predicate hasFormerName P65 FINISHED
Object CH2M 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: CH2M | Statement: [CH2M Hill, hasFormerName, CH2M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CH2M
Context triple: [CH2M Hill, hasFormerName, CH2M]
  • A. CH2M Hill chosen
    CH2M Hill was a global engineering and construction firm known for its large-scale infrastructure, environmental, and transportation projects.
  • B. 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.
  • C. HNTB
    HNTB is a prominent American architecture, engineering, and planning firm known for designing major sports venues and transportation infrastructure projects.
  • D. CHS Inc.
    CHS Inc. is a U.S.-based farmer-owned cooperative and agribusiness company involved in energy, grains, and food production and distribution.
  • E. Parsons Brinckerhoff
    Parsons Brinckerhoff is a global engineering and professional services firm known for its major infrastructure and transportation projects.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fa67c48190936f20cea45e4599 completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.