Triple

T11075238
Position Surface form Disambiguated ID Type / Status
Subject Hochtief E261848 entity
Predicate hasCompetitor P1375 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: [Hochtief, hasCompetitor, Skanska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skanska
Context triple: [Hochtief, hasCompetitor, 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 Norge
    Skanska Norge is the Norwegian subsidiary of the multinational construction and development company Skanska, responsible for major building and infrastructure projects across Norway.
  • C. Skanska Finland
    Skanska Finland is the Finnish branch of the multinational construction and project development company Skanska, responsible for major building and infrastructure projects across Finland.
  • D. 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.
  • E. Hochtief
    Hochtief is a major German-based global construction group known for large-scale infrastructure, engineering, and building 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7994efb608190a81bc8c4d16ddbd0 completed April 9, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8cc77988190aad54f56dbd0f8cf completed April 18, 2026, 6:09 p.m.
Created at: April 8, 2026, 9:26 p.m.