Triple

T5853712
Position Surface form Disambiguated ID Type / Status
Subject Çanakkale 1915 Bridge E130098 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: [Çanakkale 1915 Bridge, designedBy, COWI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COWI
Context triple: [Çanakkale 1915 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. 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.
  • C. 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.
  • D. Mott MacDonald
    Mott MacDonald is a global engineering, management, and development consultancy known for its work on major infrastructure projects worldwide.
  • E. CWI
    CWI is the Netherlands' national research institute for mathematics and computer science, known for its pioneering contributions to theoretical and applied informatics.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035529cf88190acc547ae839950e7 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1b8f8508190942ce1725884d254 completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:55 p.m.