Triple

T11041951
Position Surface form Disambiguated ID Type / Status
Subject Guaiacum sanctum E261038 entity
Predicate resinUse P97452 FINISHED
Object traditional medicine LITERAL 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: traditional medicine | Statement: [Guaiacum sanctum, resinUse, traditional medicine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resinUse
Context triple: [Guaiacum sanctum, resinUse, traditional medicine]
  • A. resinProduct
    Indicates that one entity is a product made of or derived from resin in relation to another entity.
  • B. hasResin
    Indicates that one entity contains, is coated with, or is characterized by the presence of resin in relation to another entity or context.
  • C. resinProperty
    Indicates that a resin possesses or is characterized by a specific property or attribute.
  • D. materialUsed
    Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
  • E. usesMortar
    Indicates that one entity employs or applies mortar in relation to another entity or context.
  • F. None of above. chosen

Provenance (4 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7980134c8819098122d83380a1f79 completed April 9, 2026, 12:13 p.m.
PD Predicate disambiguation batch_69d74407cb088190ba37c8da3d342b64 completed April 9, 2026, 6:15 a.m.
PDg Predicate description generation batch_69d750c99f9881908ee2b01b6ce4b3a1 completed April 9, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:26 p.m.