Triple

T17871543
Position Surface form Disambiguated ID Type / Status
Subject Oxlumo E446847 entity
Predicate hasInternationalNonproprietaryName P24556 FINISHED
Object lumasiran 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: lumasiran | Statement: [Oxlumo, hasInternationalNonproprietaryName, lumasiran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: lumasiran
Context triple: [Oxlumo, hasInternationalNonproprietaryName, lumasiran]
  • A. lumasiran chosen
    Lumasiran is an RNA interference-based drug used to treat primary hyperoxaluria type 1 by reducing hepatic production of oxalate.
  • B. Luma
    Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
  • C. Lumi
    Lumi is a feminine given name used in various cultures, often associated with meanings related to light or snow.
  • D. Tumasik
    Tumasik is an old name for the island of Singapore, historically referenced in regional Malay and Javanese sources.
  • E. Lumines
    Lumines is a music-driven puzzle video game that combines falling block mechanics with rhythm-based gameplay and dynamic audiovisual presentation.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa30ff8819090c51c1d7767e952 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.