Triple

T15009516
Position Surface form Disambiguated ID Type / Status
Subject Halley VI E377797 entity
Predicate engineer P184 FINISHED
Object AECOM E184417 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: AECOM | Statement: [Halley VI, engineer, AECOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AECOM
Context triple: [Halley VI, engineer, AECOM]
  • A. AECOM chosen
    AECOM is a global infrastructure consulting firm that provides architecture, engineering, construction management, and related professional services for large-scale public and private projects.
  • B. CH2M Hill
    CH2M Hill was a global engineering and construction firm known for its large-scale infrastructure, environmental, and transportation projects.
  • C. Black & Veatch
    Black & Veatch is a global engineering, consulting, and construction company specializing in infrastructure development in sectors such as energy, water, and telecommunications.
  • D. Aurecon
    Aurecon is a global engineering, design, and advisory company known for delivering complex infrastructure and building projects across sectors such as transport, energy, and urban development.
  • E. Rockwell Group
    Rockwell Group is a renowned New York–based architecture and design firm known for its innovative, experience-driven projects across hospitality, entertainment, and cultural spaces worldwide.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded734943481908dad4ceed4fe850c completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe96a52bb08190961e3f18d751fe2a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:55 a.m.