Triple

T20563506
Position Surface form Disambiguated ID Type / Status
Subject Ward 2 of Eugene E504905 entity
Predicate parentMunicipality P852 FINISHED
Object Eugene 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: Eugene | Statement: [Ward 2 of Eugene, parentMunicipality, Eugene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eugene
Context triple: [Ward 2 of Eugene, parentMunicipality, Eugene]
  • A. Eugene
    Eugene is a masculine given name of Greek origin, historically borne by notable figures such as Prince Eugene of Savoy.
  • B. Eugene, Oregon chosen
    Eugene, Oregon is a mid-sized city in western Oregon known for its vibrant arts scene, outdoor recreation, and the University of Oregon.
  • C. Portland
    Portland is the largest city in Oregon, known for its vibrant arts scene, progressive culture, and lush green spaces in the Pacific Northwest.
  • D. Portland
    Portland is the largest city in the U.S. state of Maine, known for its historic waterfront, vibrant arts scene, and coastal New England charm.
  • E. Portland
    Portland is a small settlement in New Zealand’s Northland Region, located near Whangārei and known for its cement works and coastal setting.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a0a0488190a534050b40ff47da completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.