Triple

T11559331
Position Surface form Disambiguated ID Type / Status
Subject Portland Thunder E274095 entity
Predicate namedAfter P63 FINISHED
Object city of 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: city of Portland | Statement: [Portland Thunder, namedAfter, city of Portland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Portland
Context triple: [Portland Thunder, namedAfter, city of Portland]
  • A. 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.
  • B. 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.
  • C. 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.
  • 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. Downtown Portland
    Downtown Portland is the historic and commercial core of Portland, Maine, known for its waterfront, arts scene, and vibrant mix of shops, restaurants, and cultural attractions.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a899d4481909a3bce3147763b51 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f018d260488190a8c716787247797f completed April 28, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:37 p.m.