Triple

T7792230
Position Surface form Disambiguated ID Type / Status
Subject Oregon's 5th congressional district E180206 entity
Predicate hasAbbreviation P43 FINISHED
Object OR-05
OR-05 is the standard abbreviation for Oregon's 5th congressional district, a U.S. House of Representatives district in the state of Oregon.
 E693886 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: OR-05 | Statement: [Oregon's 5th congressional district, hasAbbreviation, OR-05]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OR-05
Context triple: [Oregon's 5th congressional district, hasAbbreviation, OR-05]
  • A. OR-1
    OR-1 is the commonly used shorthand for Oregon's 1st congressional district, a U.S. House of Representatives district in northwestern Oregon.
  • B. ORR
    ORR is the independent regulator and competition authority for Britain’s railways and the monitor of National Highways in England.
  • C. ORI
    ORI is a revolutionary political organization known for uniting various radical groups under a single integrated movement.
  • D. OROLSI
    OROLSI is a United Nations office responsible for supporting rule of law, security sector reform, and related institution-building in conflict and post-conflict settings.
  • E. ORC
    ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
  • 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: OR-05
Triple: [Oregon's 5th congressional district, hasAbbreviation, OR-05]
Generated description
OR-05 is the standard abbreviation for Oregon's 5th congressional district, a U.S. House of Representatives district in the state of Oregon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OR-05
Target entity description: OR-05 is the standard abbreviation for Oregon's 5th congressional district, a U.S. House of Representatives district in the state of Oregon.
  • A. OR-1
    OR-1 is the commonly used shorthand for Oregon's 1st congressional district, a U.S. House of Representatives district in northwestern Oregon.
  • B. ORR
    ORR is the independent regulator and competition authority for Britain’s railways and the monitor of National Highways in England.
  • C. ORI
    ORI is a revolutionary political organization known for uniting various radical groups under a single integrated movement.
  • D. OROLSI
    OROLSI is a United Nations office responsible for supporting rule of law, security sector reform, and related institution-building in conflict and post-conflict settings.
  • E. ORC
    ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae938714c8190b89917e6ded004da completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13cdb4288190ae3cfe1ee4e3e496 completed March 31, 2026, 12:22 a.m.
NEDg Description generation batch_69cb1636b0d48190a57c2d3a7b3b41ed completed March 31, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a29d2988190bb64aada0d2ef463 completed March 31, 2026, 12:49 a.m.
Created at: March 30, 2026, 4:30 p.m.