Triple

T8481563
Position Surface form Disambiguated ID Type / Status
Subject Oregon Health Plan E200530 entity
Predicate shortName P43 FINISHED
Object OHP
OHP is Oregon’s Medicaid program that provides health care coverage to low-income residents of the state.
 E736758 NE FINISHED

How this triple was built (4 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: OHP | Statement: [Oregon Health Plan, shortName, OHP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OHP
Context triple: [Oregon Health Plan, shortName, OHP]
  • A. OPH
    OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
  • B. OPHL
    OPHL is the abbreviation commonly used for the early 20th-century Ontario Professional Hockey League, a historic professional ice hockey league based in Ontario, Canada.
  • C. OHC
    OHC is the acronym for the Office of Habitat Conservation, a division focused on protecting and restoring vital natural habitats.
  • D. OPP
    OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
  • E. OPHPR
    OPHPR is a division of the U.S. Centers for Disease Control and Prevention responsible for coordinating national preparedness and response efforts for public health emergencies and disasters.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OHP
Triple: [Oregon Health Plan, shortName, OHP]
Generated description
OHP is Oregon’s Medicaid program that provides health care coverage to low-income residents of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OHP
Target entity description: OHP is Oregon’s Medicaid program that provides health care coverage to low-income residents of the state.
  • A. OPH
    OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
  • B. OPHL
    OPHL is the abbreviation commonly used for the early 20th-century Ontario Professional Hockey League, a historic professional ice hockey league based in Ontario, Canada.
  • C. OHC
    OHC is the acronym for the Office of Habitat Conservation, a division focused on protecting and restoring vital natural habitats.
  • D. OPP
    OPP is a division within the Technology Transformation Services focused on managing and delivering digital products and programs across the U.S. federal government.
  • E. OPHPR
    OPHPR is a division of the U.S. Centers for Disease Control and Prevention responsible for coordinating national preparedness and response efforts for public health emergencies and disasters.
  • F. None of above. chosen

Provenance (5 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53638c48190b742fc51d1b4442a completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3b4008a0819096bb44b46f510213 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3c000e608190adf1b6499d382529 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:12 p.m.