Triple

T11097342
Position Surface form Disambiguated ID Type / Status
Subject DG SANTE E262409 entity
Predicate shortName P43 FINISHED
Object DG SANTE E262409 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: DG SANTE | Statement: [DG SANTE, shortName, DG SANTE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DG SANTE
Context triple: [DG SANTE, shortName, DG SANTE]
  • A. DG SANTE chosen
    DG SANTE is the European Commission department responsible for EU policy on public health and food safety.
  • B. Health Bureau
    The Health Bureau is the Hong Kong government department responsible for formulating and overseeing public health, healthcare, and related policy for the territory.
  • C. Service de santé des armées
    The Service de santé des armées is the French military health service responsible for providing medical support, care, and research for members of the French Armed Forces in peacetime and during operations.
  • D. DOH
    DOH is the IATA airport code for Hamad International Airport, the main international gateway serving Doha, Qatar.
  • E. División de Salud
    División de Salud is the medical and health services branch of the Chilean Army responsible for providing healthcare support to military personnel and their families.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0a02cc8190a15df663d4860163 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7eca9bc8190b43bae081d97d804 completed April 18, 2026, 8:22 p.m.
Created at: April 8, 2026, 9:27 p.m.