Triple

T8755508
Position Surface form Disambiguated ID Type / Status
Subject PDQ E208062 entity
Predicate relatedProfile P37 FINISHED
Object PDQv3 E738005 NE 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: PDQv3 | Statement: [PDQ, relatedProfile, PDQv3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PDQv3
Context triple: [PDQ, relatedProfile, PDQv3]
  • A. PDQ
    PDQ (Patient Demographics Query) is an IHE IT Infrastructure profile that defines standards-based mechanisms for querying and retrieving patient demographic information across healthcare systems.
  • B. IHE PDQ chosen
    IHE PDQ (Patient Demographics Query) is an IHE integration profile that defines standards-based methods for querying and retrieving patient demographic information from healthcare information systems.
  • C. DoQ
    DoQ is a network protocol that secures and accelerates DNS queries by running them over the QUIC transport layer.
  • D. PQI
    PQI is the IATA airport code for Northern Maine Regional Airport at Presque Isle in Maine, United States.
  • E. Clinical Practices of the University of Pennsylvania
    Clinical Practices of the University of Pennsylvania is the faculty practice plan and outpatient clinical arm of Penn Medicine, providing patient care across a wide range of specialties in collaboration with the University of Pennsylvania’s health system.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ee850b88190a0294bcbe4045aa3 completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf43305664819085e762e42b138754 completed April 3, 2026, 4:33 a.m.
Created at: March 30, 2026, 6:39 p.m.