Triple

T11075266
Position Surface form Disambiguated ID Type / Status
Subject Turner International E261849 entity
Predicate hasParentCompany P20316 FINISHED
Object Hochtief AG E261848 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: Hochtief AG | Statement: [Turner International, hasParentCompany, Hochtief AG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hochtief AG
Context triple: [Turner International, hasParentCompany, Hochtief AG]
  • A. Hochtief chosen
    Hochtief is a major German-based global construction group known for large-scale infrastructure, engineering, and building projects worldwide.
  • B. Strabag
    Strabag is a major European construction company based in Austria, known for large-scale infrastructure, civil engineering, and building projects across numerous countries.
  • C. ThyssenKrupp AG
    ThyssenKrupp AG is a major German multinational conglomerate specializing in industrial engineering and steel production, with significant operations in areas such as elevators, automotive components, and plant technology.
  • D. Swissbau
    Swissbau is a major Swiss trade fair and exhibition platform focused on the construction, real estate, and architecture sectors.
  • E. Ferrovial
    Ferrovial is a multinational Spanish infrastructure and construction company known for developing and operating major transport projects such as highways and airports 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_69e42d641c288190b3fed49022f5552d completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:26 p.m.