Triple

T19157365
Position Surface form Disambiguated ID Type / Status
Subject Isentress E468958 entity
Predicate isAvailableAs P1395 FINISHED
Object Isentress HD 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: Isentress HD | Statement: [Isentress, isAvailableAs, Isentress HD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isentress HD
Context triple: [Isentress, isAvailableAs, Isentress HD]
  • A. Isentress chosen
    Isentress is an antiretroviral medication (an HIV integrase inhibitor) used to treat HIV infection in adults and children.
  • B. Kalydeco
    Kalydeco is a prescription medication used to treat certain forms of cystic fibrosis by improving the function of defective CFTR proteins.
  • C. Altabix
    Altabix is a residential neighborhood in the city of Elche, Spain, known for its local sports facilities and community-focused urban environment.
  • D. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • E. Talycopa
    Talycopa is a locality or area within the community of Llansamlet in Swansea, Wales.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeba91a081909c04d61d6117da06 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.