Triple

T7407288
Position Surface form Disambiguated ID Type / Status
Subject Ludwigshafen am Rhein E170906 entity
Predicate knownFor P22 FINISHED
Object BASF complex E213163 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: BASF complex | Statement: [Ludwigshafen am Rhein, knownFor, BASF complex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BASF complex
Context triple: [Ludwigshafen am Rhein, knownFor, BASF complex]
  • A. Chemelot industrial complex
    The Chemelot industrial complex is a major chemical and industrial site in the Netherlands, known for its large cluster of chemical plants, research facilities, and production infrastructure.
  • B. Chemische Fabrik Griesheim-Elektron
    Chemische Fabrik Griesheim-Elektron was a German chemical company that became one of the key predecessors of the conglomerate IG Farben.
  • C. Buna chemical works
    Buna chemical works was a major synthetic rubber and chemical production complex in East Germany, historically significant as one of the largest industrial plants in the region.
  • D. BASF chosen
    BASF is a major German chemical company and one of the world's largest producers of chemicals and related products.
  • E. Hoechst industrial site
    The Hoechst industrial site is a large historic chemical and pharmaceutical production complex in Frankfurt-Höchst, Germany, formerly the main base of Hoechst AG and now home to numerous chemical and life-science companies.
  • 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_69c68a6010108190925e5284de022660 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f298f2388190afc944c9bc78749a completed March 27, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8111adbf48190a04df3cec1017b39 completed March 28, 2026, 5:34 p.m.
Created at: March 27, 2026, 3:10 p.m.