Triple

T10068805
Position Surface form Disambiguated ID Type / Status
Subject Hoechst E213164 entity
Predicate predecessor P97 FINISHED
Object Farbwerke Hoechst E213164 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: Farbwerke Hoechst | Statement: [Hoechst, predecessor, Farbwerke Hoechst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farbwerke Hoechst
Context triple: [Hoechst, predecessor, Farbwerke Hoechst]
  • A. Ciba-Geigy
    Ciba-Geigy was a major Swiss pharmaceutical and chemical company that became one of the predecessors of Novartis after its merger with Sandoz in 1996.
  • B. Hoechst chosen
    Hoechst was a major German chemical and pharmaceutical company that later became part of the conglomerate IG Farben.
  • C. Bayer
    Bayer is a major German multinational pharmaceutical and life sciences company known for products such as aspirin and its work in healthcare and agriculture.
  • D. Schering
    Schering is a German surname most notably associated with Ernst Schering, a 19th-century pharmacist and founder of the pharmaceutical company Schering AG.
  • E. IG Farben
    IG Farben was a powerful German chemical and pharmaceutical conglomerate that played a central role in supporting the Nazi war effort and the atrocities of the Holocaust during World War II.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcff8d9c08190bc030f1dcc696310 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a96fc888190aec7cd364a0d7fb1 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.