Triple

T6563370
Position Surface form Disambiguated ID Type / Status
Subject fampridine E153840 entity
Predicate hasBrandName P40804 FINISHED
Object Fampyra E28893 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: Fampyra | Statement: [fampridine, hasBrandName, Fampyra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fampyra
Context triple: [fampridine, hasBrandName, Fampyra]
  • A. Fampyra chosen
    Fampyra is a prescription medication (prolonged-release fampridine) used to improve walking in adults with multiple sclerosis.
  • B. Rahaita
    Rahaita is a settlement located in Eritrea's Southern Red Sea Region, along the country's arid Red Sea coastal area.
  • C. Fa d’Ambô
    Fa d’Ambô is a Portuguese-based creole language spoken primarily on the island of Annobón in Equatorial Guinea.
  • D. Faoug
    Faoug is a small Swiss village in the canton of Vaud, situated on the southern shore of Lake Murten and known for its lakeside setting and recreational opportunities.
  • E. Farkadona
    Farkadona is a town and municipality in central Greece, situated in the Thessaly region.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3a40488190892d20ca0d60b937 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55fa1bc81908f2929e835051532 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.