Triple

T11145639
Position Surface form Disambiguated ID Type / Status
Subject ACS Group E263662 entity
Predicate owns P347 FINISHED
Object Hochtief 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 | Statement: [ACS Group, owns, Hochtief]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hochtief
Context triple: [ACS Group, owns, Hochtief]
  • 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. Swissbau
    Swissbau is a major Swiss trade fair and exhibition platform focused on the construction, real estate, and architecture sectors.
  • D. BESIX
    BESIX is a major Belgian construction and engineering company known for delivering large-scale, high-profile projects worldwide.
  • E. Skanska AB
    Skanska AB is a multinational Swedish construction and project development company known for large-scale infrastructure, commercial, and residential 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8634d5481909b114d30a542ea3f completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4421d35f48190a5905fbab39f4015 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.