Triple

T1643906
Position Surface form Disambiguated ID Type / Status
Subject Portland Union Station E35533 entity
Predicate servesCity P82 FINISHED
Object Portland E182044 NE FINISHED

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: Portland | Statement: [Portland Union Station, servesCity, Portland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portland
Context triple: [Portland Union Station, servesCity, Portland]
  • A. Portland chosen
    Portland is the largest city in Oregon, known for its vibrant arts scene, progressive culture, and lush green spaces in the Pacific Northwest.
  • B. 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.
  • C. Portland
    Portland is a tied island and civil parish on the Jurassic Coast in Dorset, England, known for its historic quarries, lighthouse, and role as a former naval base.
  • D. Portland
    Portland is a small historic town in the Central Tablelands region of New South Wales, Australia, known for its early cement works and heritage streetscapes.
  • E. Eugene
    Eugene is a masculine given name of Greek origin, historically borne by notable figures such as Prince Eugene of Savoy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622e9b08819094960b2329c6e7e6 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa035474881908e283cd1af65beea completed March 10, 2026, 4:38 a.m.
Created at: March 4, 2026, 7:28 p.m.