Triple

T13813009
Position Surface form Disambiguated ID Type / Status
Subject Olympic House, Lausanne E331941 entity
Predicate servicesEngineer P17741 FINISHED
Object WSP Global E36118 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: WSP Global | Statement: [Olympic House, Lausanne, servicesEngineer, WSP Global]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WSP Global
Context triple: [Olympic House, Lausanne, servicesEngineer, WSP Global]
  • A. WSP Global chosen
    WSP Global is a Canadian-based multinational professional services firm specializing in engineering, design, and consulting for infrastructure, environmental, building, and transportation projects worldwide.
  • B. Louis Berger Group
    Louis Berger Group is a global engineering and infrastructure consulting firm known for designing and managing major transportation and civil works projects worldwide.
  • C. 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.
  • D. WSP
    WSP is the station code for Weesperplein, a metro station in Amsterdam, Netherlands.
  • E. 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.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de027198f8819095da3e714ac241f5 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8de34a4819090c99cb78b941003 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.