Triple

T1169396
Position Surface form Disambiguated ID Type / Status
Subject Plegridy E24878 entity
Predicate hasTradeName P24555 FINISHED
Object Plegridy E24878 NE FINISHED

How this triple was built (3 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: Plegridy | Statement: [Plegridy, hasTradeName, Plegridy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plegridy
Context triple: [Plegridy, hasTradeName, Plegridy]
  • A. Plegridy chosen
    Plegridy is a pegylated interferon beta-1a medication used to treat relapsing forms of multiple sclerosis.
  • B. Fremulon
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • C. Sarine
    The Sarine is a major river in western Switzerland that flows through the canton of Fribourg and ultimately joins the Aare.
  • D. Versonnex
    Versonnex is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Loscy
    Loscy is the nickname of Jim Loscutoff, a former Boston Celtics forward known for his rugged defense and contribution to multiple NBA championships in the 1950s and 1960s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTradeName
Context triple: [Plegridy, hasTradeName, Plegridy]
  • A. tradeNameIncludes
    Indicates that a trade name contains another name or term as part of its full designation.
  • B. hasTraditionalName
    Indicates that an entity is associated with a name traditionally used or recognized for it, often rooted in long-standing cultural or historical practice.
  • C. hasTrade
    Indicates a relationship where one entity engages in or maintains a commercial exchange or trading activity with another entity.
  • D. tradesAs
    Indicates that one entity conducts business or is publicly known under the trading name or brand of another entity.
  • E. hasNameAbbreviation
    Indicates that an entity is associated with a shortened or abbreviated form of its full name.
  • F. None of above. chosen

Provenance (5 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bce821b481908bc278a3fa7973f4 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac668562788190ac5f8d081a46b2ee completed March 7, 2026, 5:55 p.m.
PD Predicate disambiguation batch_69a4bb5656948190b0b1d5446ad06005 completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bbd7ff1881908c943ecdfea59e81 completed March 1, 2026, 10:21 p.m.
Created at: March 1, 2026, 7:45 p.m.