Triple

T12857147
Position Surface form Disambiguated ID Type / Status
Subject Gottlieb Duttweiler Institute E307485 entity
Predicate affiliation P10 FINISHED
Object Migros Group E307487 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: Migros Group | Statement: [Gottlieb Duttweiler Institute, affiliation, Migros Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Migros Group
Context triple: [Gottlieb Duttweiler Institute, affiliation, Migros Group]
  • A. Migros chosen
    Migros is Switzerland’s largest retail cooperative and a major supermarket chain known for its extensive network of stores, consumer goods, and cultural and social initiatives.
  • B. Lindt & Sprüngli
    Lindt & Sprüngli is a Swiss premium chocolate and confectionery manufacturer renowned worldwide for its high-quality chocolate bars, pralines, and seasonal specialties.
  • C. Semperit
    Semperit is a tire and rubber products brand owned by the German automotive supplier Continental AG.
  • D. Swiss Bank Corporation
    Swiss Bank Corporation was a major Swiss financial institution and investment bank that became part of UBS following a landmark merger in the late 1990s.
  • E. Cencosud
    Cencosud is a major Latin American retail conglomerate based in Chile, operating supermarkets, home improvement stores, department stores, and shopping centers across several countries in the region.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970231ce48190a4eabc4b8c24a3ff completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a54ce34c819080ef09ec040a4dbb completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:37 p.m.