Triple

T701419
Position Surface form Disambiguated ID Type / Status
Subject International Health Regulations E14006 entity
Predicate abbreviation P43 FINISHED
Object IHR E14006 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: IHR | Statement: [International Health Regulations, abbreviation, IHR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IHR
Context triple: [International Health Regulations, abbreviation, IHR]
  • A. IHR chosen
    IHR refers to the International Health Regulations, a legally binding framework coordinated by the World Health Organization to prevent and respond to the international spread of disease.
  • B. IHA
    IHA is the commonly used abbreviation for Japan’s Imperial Household Agency, the government body responsible for matters concerning the Imperial Family.
  • C. IRU
    IRU is the abbreviation for the International Romani Union, a global organization representing the interests and rights of Romani people.
  • D. IN-HP
    IN-HP is the ISO 3166-2 code representing the Indian state of Himachal Pradesh.
  • E. HTI
    HTI is the three-letter ISO 3166-1 alpha-3 country code assigned to Haiti for international standardization and identification.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a530f8948190ab56132d5a2ab5ef completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcae2ef88190a9ea1604429f048a completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.