Triple

T5689114
Position Surface form Disambiguated ID Type / Status
Subject Study 301 E125384 entity
Predicate sponsorDrugBrand P65955 FINISHED
Object Leqembi E25439 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: Leqembi | Statement: [Study 301, sponsorDrugBrand, Leqembi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leqembi
Context triple: [Study 301, sponsorDrugBrand, Leqembi]
  • A. Leqembi chosen
    Leqembi is an Alzheimer’s disease drug (lecanemab) that targets amyloid-beta plaques to slow cognitive decline in early-stage patients.
  • B. Cribyn
    Cribyn is a prominent mountain peak in the central Brecon Beacons of South Wales, popular with hikers for its steep slopes and panoramic views.
  • C. Fluzão
    Fluzão is a popular nickname for Fluminense Football Club, one of Brazil’s traditional Rio de Janeiro–based football teams.
  • D. Chéserex
    Chéserex is a small Swiss municipality in the canton of Vaud, situated near the Jura Mountains above Lake Geneva.
  • E. Vircava
    Vircava is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • 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: sponsorDrugBrand
Context triple: [Study 301, sponsorDrugBrand, Leqembi]
  • A. sponsorBrandType
    Indicates the type or category of brand that is acting as a sponsor in the relationship.
  • B. sponsorAcronym
    Indicates that one entity is the acronym or abbreviated form used to refer to the sponsoring organization of another entity.
  • C. sponsorType
    Indicates the specific role or category of sponsorship that an entity provides in relation to another entity or event.
  • D. distributedBrand
    Indicates that one entity serves as a distributor or reseller for the brand of another entity.
  • E. competitiveBrandName
    Indicates that one brand name is in a competitive relationship with another brand name in the same market or product space.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029014588819094a2a0f6f9b66bab completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a15254788190bd5d533df9c1fa26 completed March 23, 2026, 2:11 a.m.
PD Predicate disambiguation batch_69c021c0e0408190ab6c3cd3f907e80f completed March 22, 2026, 5:07 p.m.
PDg Predicate description generation batch_69c028fec2bc819083f5dca6a8d9d435 completed March 22, 2026, 5:38 p.m.
Created at: March 22, 2026, 3:44 p.m.