Triple

T7591485
Position Surface form Disambiguated ID Type / Status
Subject Great Belt Bridge E179744 entity
Predicate designedBy P184 FINISHED
Object COWI E338248 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: COWI | Statement: [Great Belt Bridge, designedBy, COWI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COWI
Context triple: [Great Belt Bridge, designedBy, COWI]
  • A. COWI chosen
    COWI is an international consulting engineering group known for its expertise in large-scale infrastructure projects, including major bridges and tunnels.
  • B. Ramboll
    Ramboll is a global engineering, design, and consultancy company known for delivering innovative and sustainable solutions in buildings, transport, environment, energy, and infrastructure projects.
  • C. 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.
  • D. Ove Arup & Partners
    Ove Arup & Partners is a globally renowned engineering and design consultancy known for its pioneering structural work on landmark projects such as the Sydney Opera House.
  • E. Mott MacDonald
    Mott MacDonald is a global engineering, management, and development consultancy known for its work on major infrastructure projects 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9b746ac8190b255afdfb9635f72 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86192b5d88190b0a02cf303462bfb completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:53 p.m.