Triple

T11436281
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Veterinary Medicine, Utrecht University E271017 entity
Predicate focusesOn P31 FINISHED
Object One Health E18916 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: One Health | Statement: [Faculty of Veterinary Medicine, Utrecht University, focusesOn, One Health]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Health
Context triple: [Faculty of Veterinary Medicine, Utrecht University, focusesOn, One Health]
  • A. One Health chosen
    One Health is an integrated, collaborative approach that recognizes the interconnection between human, animal, and environmental health to better prevent, detect, and respond to health threats.
  • B. Centre for One Health
    The Centre for One Health is a Norwegian research and coordination hub focused on the interconnected health of humans, animals, and the environment.
  • C. Centre for Collaboration with One Health Networks
    The Centre for Collaboration with One Health Networks is a unit within Norway’s public health system that fosters interdisciplinary cooperation between human, animal, and environmental health sectors to address shared health challenges.
  • D. Animal Health
    Animal Health is a division of Merck & Co. focused on developing and providing veterinary pharmaceuticals, vaccines, and health solutions for a wide range of animal species.
  • E. Animal Health
    Animal Health was a former UK government agency responsible for safeguarding animal health and welfare and supporting public health through disease control and surveillance.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d808855a7481909314f90ad92aae68 completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d38727fc8190b5daac83e03491e6 completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.