Triple

T16769798
Position Surface form Disambiguated ID Type / Status
Subject Hoechst industrial site E407561 entity
Predicate hasTenant P3277 FINISHED
Object Celanese E203002 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: Celanese | Statement: [Hoechst industrial site, hasTenant, Celanese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Celanese
Context triple: [Hoechst industrial site, hasTenant, Celanese]
  • A. Celanese Corporation chosen
    Celanese Corporation is a global specialty materials and chemical company known for producing engineered materials, acetyl products, and other advanced polymers for industrial and consumer applications.
  • B. Lanxess
    Lanxess is a German specialty chemicals company known for producing high-performance plastics, rubber, and chemical intermediates for various industrial applications.
  • C. Rohm and Haas
    Rohm and Haas is a specialty chemicals company known for producing advanced materials and chemical products used in coatings, electronics, and industrial applications.
  • D. Clariant
    Clariant is a Swiss-based specialty chemicals company known for producing a wide range of chemical products for industries such as plastics, coatings, agriculture, and personal care.
  • E. BASF
    BASF is a major German chemical company and one of the world's largest producers of chemicals and related products.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0356a9c8190b316cd00223e7537 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafa19888190bb7f96591f363867 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:21 a.m.