Triple

T22693770
Position Surface form Disambiguated ID Type / Status
Subject inotersen E561115 entity
Predicate hasTradeName P24555 FINISHED
Object Tegsedi 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: Tegsedi | Statement: [inotersen, hasTradeName, Tegsedi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tegsedi
Context triple: [inotersen, hasTradeName, Tegsedi]
  • A. Tegsedi chosen
    Tegsedi is an antisense oligonucleotide drug used to treat hereditary transthyretin-mediated amyloidosis by reducing the production of the transthyretin protein.
  • B. Tegid
    Tegid is a figure from Welsh tradition whose name is associated with the region around Bala Lake and commemorated in local religious and cultural landmarks.
  • C. Teda
    Teda are a Saharan ethnic group, primarily inhabiting northern Chad and surrounding regions, known for their nomadic lifestyle and Tebu language.
  • D. Tagarades
    Tagarades is a village in northern Greece that forms part of the Municipality of Thermi near Thessaloniki.
  • E. Tedaga
    Tedaga is the language spoken by the Teda people, a Saharan ethnic group primarily inhabiting parts of Chad, Niger, and southern Libya.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789c6ae481908975b7d27e7624ac completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.