Triple

T17912513
Position Surface form Disambiguated ID Type / Status
Subject Oa E447847 entity
Predicate hasStructure P35 FINISHED
Object Sciencells 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: Sciencells | Statement: [Oa, hasStructure, Sciencells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sciencells
Context triple: [Oa, hasStructure, Sciencells]
  • A. Hargreave-Rasch Biotechnologies
    Hargreave-Rasch Biotechnologies is a fictional advanced biotech corporation in the Crysis video game universe, known for its cutting-edge research into alien technology and military applications.
  • B. Cell 211
    Cell 211 is a critically acclaimed Spanish prison thriller film centered on a deadly riot and the moral dilemmas it creates.
  • C. Eurofins Scientific
    Eurofins Scientific is a global leader in bioanalytical testing services, specializing in food, environmental, pharmaceutical, and clinical laboratory analysis.
  • D. Life Biosciences
    Life Biosciences is a biotechnology company focused on developing therapies to slow or reverse aspects of aging and age-related diseases.
  • E. BD Biosciences chosen
    BD Biosciences is a biotechnology company that develops and supplies research and clinical tools, including cell analysis instruments, reagents, and culture media, for life science and medical laboratories worldwide.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30288ac8190bc633e69447709bf completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:19 a.m.