Triple

T2931232
Position Surface form Disambiguated ID Type / Status
Subject Islamic medicine E78961 entity
Predicate developedField P22747 FINISHED
Object ophthalmology 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: ophthalmology | Statement: [Islamic medicine, developedField, ophthalmology]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developedField
Context triple: [Islamic medicine, developedField, ophthalmology]
  • A. developedInField chosen
    Indicates that an entity (such as a method, theory, or technology) was created, formulated, or advanced within a particular academic or professional field.
  • B. developed
    Indicates that one entity created, designed, or brought another entity into a more advanced or complete state through effort or work.
  • C. developedAlong
    Indicates that something was created, constructed, or evolved following the course, path, or boundary of something else.
  • D. developedThrough
    Indicates that something came into existence, was created, or was brought to its current form by means of a specified process, method, or developmental pathway.
  • E. developedAround
    Indicates that one entity was created, designed, or evolved with the other entity as its central focus, basis, or surrounding context.
  • F. None of above.

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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad980368e48190a50b59917af4786a completed March 8, 2026, 3:38 p.m.
PD Predicate disambiguation batch_69ad9606e8348190bb19df33a2709674 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:55 p.m.