Triple

T17601073
Position Surface form Disambiguated ID Type / Status
Subject IT-EMR E428701 entity
Predicate hasCodeSuffix P86098 FINISHED
Object EMR 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: EMR | Statement: [IT-EMR, hasCodeSuffix, EMR]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCodeSuffix
Context triple: [IT-EMR, hasCodeSuffix, EMR]
  • A. hasNameSuffix
    Indicates that an entity’s name includes a specific suffix or ending component.
  • B. hasCodeIn
    Indicates that one entity is represented, defined, or implemented within the codebase or coding context of another entity.
  • C. hasCodeName
    Indicates that an entity is known or referred to by a particular alternative name or alias, often used for secrecy or distinction.
  • D. hasCodeLetters
    Indicates that an entity is associated with, or represented by, a specific sequence of letters used as its code or identifier.
  • E. hasCodeSpace chosen
    Indicates that an entity is associated with a particular code space or coding namespace in which its identifiers or codes are defined.
  • 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c48dfc08190ba360e6082cffa87 completed April 19, 2026, 5:46 a.m.
PD Predicate disambiguation batch_69e3b4fff0348190b899a32da537eaca completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:51 a.m.