Triple

T9807202
Position Surface form Disambiguated ID Type / Status
Subject Xeloda E238181 entity
Predicate interactsWith P3970 FINISHED
Object warfarin E241385 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: warfarin | Statement: [Xeloda, interactsWith, warfarin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: warfarin
Context triple: [Xeloda, interactsWith, warfarin]
  • A. warfarin chosen
    Warfarin is a long-established oral anticoagulant used to prevent and treat blood clots, requiring regular blood monitoring and dose adjustments due to its narrow therapeutic range and numerous drug and food interactions.
  • B. dabigatran
    Dabigatran is an oral direct thrombin inhibitor anticoagulant used to prevent and treat blood clots and reduce the risk of stroke in patients with conditions like atrial fibrillation.
  • C. Xarelto
    Xarelto is a widely used prescription anticoagulant (blood thinner) that helps prevent and treat blood clots and reduce the risk of stroke in certain patients.
  • D. apixaban
    Apixaban is an oral anticoagulant (factor Xa inhibitor) used to prevent and treat blood clots and reduce the risk of stroke in patients with conditions such as atrial fibrillation.
  • E. Hépar
    Hépar is a French natural mineral water brand known for its high magnesium content and digestive health benefits.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdab7cb9588190953a063cb7b9e29e completed April 1, 2026, 11:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc57119881909616d835def02fc9 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:29 p.m.