Triple

T22987983
Position Surface form Disambiguated ID Type / Status
Subject HMO E571965 entity
Predicate contrastsWith P278 FINISHED
Object EPO 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: EPO | Statement: [HMO, contrastsWith, EPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EPO
Context triple: [HMO, contrastsWith, EPO]
  • A. EPO chosen
    EPO is a type of health insurance plan that covers services only from a specific network of providers, except in emergencies.
  • B. EPO
    EPO is the commonly used abbreviation for the Hellenic Football Federation, the governing body of football in Greece.
  • C. EPI
    EPI is the abbreviation for Exploding Plastic Inevitable, the multimedia performance series created by Andy Warhol that combined live music, film projections, and avant-garde art in the 1960s.
  • D. EPI
    EPI is the vehicle registration code assigned to Piotrków County in Poland.
  • E. EPI
    EPI is a European aerospace consortium best known for developing and producing advanced turboprop engines for military transport aircraft, including the Airbus A400M.
  • 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.