Triple

T13366095
Position Surface form Disambiguated ID Type / Status
Subject Karstadt E318941 entity
Predicate ownedBy P347 FINISHED
Object Signa Holding E314910 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: Signa Holding | Statement: [Karstadt, ownedBy, Signa Holding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Signa Holding
Context triple: [Karstadt, ownedBy, Signa Holding]
  • A. Signa Holding chosen
    Signa Holding is an Austrian-based real estate and retail investment group known for owning and managing major department store and commercial property portfolios across Europe.
  • B. Portman Holdings
    Portman Holdings is a real estate development and investment firm known for creating and managing large-scale mixed-use and hospitality properties worldwide.
  • C. Kingdom Holding Company
    Kingdom Holding Company is a Saudi Arabian investment conglomerate chaired by Prince Alwaleed bin Talal, known for its global portfolio spanning real estate, banking, hospitality, and media.
  • D. Seven Group Holdings
    Seven Group Holdings is an Australian diversified investment and operating company with major interests in media, industrial services, and energy.
  • E. Dana Holding Corporation
    Dana Holding Corporation is a global supplier of driveline, sealing, and thermal-management technologies for automotive and commercial vehicle manufacturers.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628c71ac81908cfa36342077766e completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7267e9d608190b36f58a92d4a9964 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:32 p.m.