Triple

T8757951
Position Surface form Disambiguated ID Type / Status
Subject HL7 International E208119 entity
Predicate developsStandard P73 FINISHED
Object CDA E732171 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: CDA | Statement: [HL7 International, developsStandard, CDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CDA
Context triple: [HL7 International, developsStandard, CDA]
  • A. CDA
    CDA is a major Dutch Christian-democratic political party that has frequently participated in governing coalitions in the Netherlands.
  • B. CDA
    CDA is the Capital Development Authority, the municipal and development agency responsible for planning and managing Islamabad, Pakistan’s capital city.
  • C. CDA chosen
    CDA (Clinical Document Architecture) is an HL7 standard for structuring and encoding clinical documents to enable interoperable exchange of healthcare information between systems.
  • D. CACD
    CACD is the commonly used abbreviation for the United States District Court for the Central District of California, a federal trial court serving the central region of the state.
  • E. CADA
    CADA is a Colorado state civil rights law that prohibits discrimination in areas such as employment, housing, and public accommodations.
  • 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_69cc5ddc2d9c81908948aee2b956cce4 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf434232d08190bfee6f5ec1c0b5a6 completed April 3, 2026, 4:34 a.m.
Created at: March 30, 2026, 6:40 p.m.