Triple

T2814926
Position Surface form Disambiguated ID Type / Status
Subject Multi-Ethnic Study of Atherosclerosis E54258 entity
Predicate hasOutcomeMeasure P33358 FINISHED
Object incident coronary heart disease 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: incident coronary heart disease | Statement: [Multi-Ethnic Study of Atherosclerosis, hasOutcomeMeasure, incident coronary heart disease]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOutcomeMeasure
Context triple: [Multi-Ethnic Study of Atherosclerosis, hasOutcomeMeasure, incident coronary heart disease]
  • A. hasMeasurement
    Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
  • B. hasEventOutcome chosen
    Indicates that a particular event results in, leads to, or is associated with a specific outcome.
  • C. measuredBy
    Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
  • D. includesMeasure
    Indicates that one entity contains, incorporates, or makes use of a particular measurement or quantitative value as part of its definition or specification.
  • E. requiresMeasures
    Indicates that one entity necessitates the implementation or presence of specific measures, actions, or safeguards in relation to another entity or situation.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4d29488190a32461906dd9ea7e completed March 7, 2026, 8:14 a.m.
PD Predicate disambiguation batch_69abdd0740208190911dc9c9546a79ae completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:59 p.m.