Triple

T20611484
Position Surface form Disambiguated ID Type / Status
Subject Matchstick Palace E506457 entity
Predicate hasOwnerHistory P22003 FINISHED
Object Swedish Match 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: Swedish Match | Statement: [Matchstick Palace, hasOwnerHistory, Swedish Match]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swedish Match
Context triple: [Matchstick Palace, hasOwnerHistory, Swedish Match]
  • A. Swedish Match AB chosen
    Swedish Match AB is a Swedish company best known for producing smokeless tobacco products such as snus, as well as matches and lighters, for markets worldwide.
  • B. Swarovski
    Swarovski is an Austrian luxury brand renowned worldwide for its precision-cut crystal jewelry, figurines, and decorative items.
  • C. Hansnes
    Hansnes is a small coastal village in northern Norway that serves as an administrative and ferry hub for the surrounding islands in Troms.
  • D. Wahlström & Widstrand
    Wahlström & Widstrand is a prominent Swedish publishing house known for literary fiction and non-fiction, and is part of the Bonnier media conglomerate.
  • E. Mondelange
    Mondelange is a commune in northeastern France’s Moselle department, known for its location in the Grand Est region near the Luxembourg border.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad81bdc8190aa6f6164f406a468 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.