Triple

T16620368
Position Surface form Disambiguated ID Type / Status
Subject Rutte IV E403807 entity
Predicate coalitionPartner P1904 FINISHED
Object CDA E77576 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: [Rutte IV, coalitionPartner, CDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CDA
Context triple: [Rutte IV, coalitionPartner, CDA]
  • A. CDA
    CDA is the Capital Development Authority, the municipal and development agency responsible for planning and managing Islamabad, Pakistan’s capital city.
  • B. CDA
    CDA (Clinical Document Architecture) is an HL7 standard for structuring and encoding clinical documents to enable interoperable exchange of healthcare information between systems.
  • C. CDA chosen
    CDA is a major Dutch Christian-democratic political party that has frequently participated in governing coalitions in the Netherlands.
  • 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 college focused on education and research in architecture, design, visual arts, and performing arts.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754d6b4c81908eab5210c386ea15 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db27f788190a3c57b7ea8a8a9c6 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.