Triple

T22262071
Position Surface form Disambiguated ID Type / Status
Subject Limak E550251 entity
Predicate hasSubsidiary P254 FINISHED
Object Limak İnşaat NE NERFINISHED

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: Limak İnşaat | Statement: [Limak, hasSubsidiary, Limak İnşaat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limak İnşaat
Context triple: [Limak, hasSubsidiary, Limak İnşaat]
  • A. Limak chosen
    Limak is a major Turkish construction and infrastructure company known for undertaking large-scale projects such as bridges, airports, and energy facilities.
  • B. Link Arkitektur
    Link Arkitektur is a Scandinavian architecture firm known for contemporary, sustainable designs across public, commercial, and cultural buildings.
  • C. Akfen Construction
    Akfen Construction is a Turkish construction and infrastructure company that operates as a key subsidiary of the diversified investment group Akfen Holding.
  • D. Architekton
    Architekton is an Arizona-based architecture firm known for contemporary, context-sensitive public and cultural projects.
  • E. Yapi Merkezi
    Yapi Merkezi is a Turkish construction and engineering company known for major rail and infrastructure projects in Turkey and abroad.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141b87de0819088b7553406343068 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.