Triple

T14548479
Position Surface form Disambiguated ID Type / Status
Subject Six family E341350 entity
Predicate associatedWith P37 FINISHED
Object BESIX Group E68559 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: BESIX Group | Statement: [Six family, associatedWith, BESIX Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BESIX Group
Context triple: [Six family, associatedWith, BESIX Group]
  • A. BESIX chosen
    BESIX is a major Belgian construction and engineering company known for delivering large-scale, high-profile 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. Pelsaert Group
    The Pelsaert Group is the southernmost cluster of low-lying coral islands and reefs within Western Australia’s Houtman Abrolhos archipelago, noted for its rich marine biodiversity and historical shipwrecks.
  • D. Eiffage
    Eiffage is a major French construction and civil engineering company known for delivering large-scale infrastructure projects such as the Millau Viaduct.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ed2b4c8190945bd26531c71f1f completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a6344b08190a3c1124c6dd7da96 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:23 a.m.