Triple

T27348040
Position Surface form Disambiguated ID Type / Status
Subject Homo floresiensis E684280 entity
Predicate pathologyHypothesesConsidered P47125 FINISHED
Object endemic cretinism 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: endemic cretinism | Statement: [Homo floresiensis, pathologyHypothesesConsidered, endemic cretinism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: pathologyHypothesesConsidered
Context triple: [Homo floresiensis, pathologyHypothesesConsidered, endemic cretinism]
  • A. pathologyFeature
    Indicates that one entity is a pathological characteristic, sign, or abnormal finding associated with another entity in a medical or biological context.
  • B. targetsPathophysiology
    Indicates that an intervention, agent, or process is specifically directed at modifying or influencing a particular disease mechanism or pathological process.
  • C. differentialDiagnosisIncludes chosen
    Indicates that a differential diagnosis list for a case or condition contains a particular possible diagnosis as one of the considered alternatives.
  • D. hasEtiology
    Indicates that one entity is the cause, origin, or underlying reason for the occurrence or existence of another entity or condition.
  • E. asksToInvestigate
    Indicates that one entity requests another entity to carry out an investigation into something.
  • 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_69ef1480a76481908684256ddd5bfda3 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62cd2ceb481908cd9fae52a542206 completed May 2, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69f62c1762f881908c25e8f70ecd5041 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 11:46 a.m.