Triple

T22988014
Position Surface form Disambiguated ID Type / Status
Subject EPO E571966 entity
Predicate comparedWith P278 FINISHED
Object HMO NE NERFINISHED

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: HMO | Statement: [EPO, comparedWith, HMO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HMO
Context triple: [EPO, comparedWith, HMO]
  • A. HMO chosen
    HMO (Health Maintenance Organization) is a type of health insurance plan that provides care through a specified network of providers and typically requires members to choose a primary care physician and obtain referrals for specialist services.
  • B. HMO
    HMO is the IATA airport code for Hermosillo International Airport in Hermosillo, Sonora, Mexico.
  • C. HMKG
    HMKG is the ceremonial and protective military unit responsible for guarding the Norwegian royal family and performing high-profile public duties.
  • D. UHC
    UHC is the commonly used abbreviation for the Uttarakhand High Court, the highest judicial authority in the Indian state of Uttarakhand.
  • E. Humana
    "Humana" is a song by Belgian-Canadian singer Lara Fabian, known for showcasing her emotive vocal style and pop-influenced sound.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1829b4ea88190bc1a01183df7a1bb completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.