Triple

T10166342
Position Surface form Disambiguated ID Type / Status
Subject IHC E235212 entity
Predicate relatedTo P37 FINISHED
Object IHS E169209 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: IHS | Statement: [IHC, relatedTo, IHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IHS
Context triple: [IHC, relatedTo, IHS]
  • A. IHS chosen
    IHS is a U.S. federal agency within the Department of Health and Human Services that provides health services to American Indians and Alaska Natives.
  • B. IHR
    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.
  • C. IHC
    IHC is a Christogram, a traditional Christian monogram representing the name of Jesus derived from the first three letters of his name in Greek.
  • D. IHA
    IHA is the commonly used abbreviation for Japan’s Imperial Household Agency, the government body responsible for matters concerning the Imperial Family.
  • E. HIRS
    HIRS (High-resolution Infrared Radiation Sounder) is a satellite-borne infrared radiometer used on Polar Operational Environmental Satellites to measure atmospheric temperature and humidity profiles for weather forecasting and climate monitoring.
  • 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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6cf27481909f38839452ac0e37 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300e06bbc8190a51f872eccac8f40 completed April 6, 2026, 12:40 a.m.
Created at: March 30, 2026, 9:10 p.m.