Triple

T2035763
Position Surface form Disambiguated ID Type / Status
Subject Skanska USA Building Inc. E44622 entity
Predicate brand P1500 FINISHED
Object Skanska E227930 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: Skanska | Statement: [Skanska USA Building Inc., brand, Skanska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skanska
Context triple: [Skanska USA Building Inc., brand, Skanska]
  • A. Skanska AB chosen
    Skanska AB is a multinational Swedish construction and project development company known for large-scale infrastructure, commercial, and residential projects worldwide.
  • B. Skanska USA Building Inc.
    Skanska USA Building Inc. is the U.S. construction and development arm of the global Skanska group, known for managing large, complex building projects across the country.
  • C. Kiewit Constructors
    Kiewit Constructors is a major North American construction and engineering contractor known for delivering large-scale infrastructure and transportation projects.
  • D. BESIX
    BESIX is a major Belgian construction and engineering company known for delivering large-scale, high-profile projects worldwide.
  • E. Mori Building Company
    Mori Building Company is a major Japanese real estate developer known for creating large-scale urban landmarks and high-rise complexes in Asia and beyond.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb934ff948190acd88d4f587463a4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2710f6408190b7feb99efa7ce9bb completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:39 p.m.