Triple

T12043750
Position Surface form Disambiguated ID Type / Status
Subject Parsons Brinckerhoff E286730 entity
Predicate acquiredBy P347 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: [Parsons Brinckerhoff, acquiredBy, WSP Global]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WSP Global
Context triple: [Parsons Brinckerhoff, acquiredBy, 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49db574bc8190a0f2f858a2ff788d completed May 1, 2026, 12:33 p.m.
Created at: April 8, 2026, 9:47 p.m.