Triple

T4661542
Position Surface form Disambiguated ID Type / Status
Subject Bangor Waterfront E102543 entity
Predicate governedBy P46 FINISHED
Object City of Bangor E7564 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 Bangor | Statement: [Bangor Waterfront, governedBy, City of Bangor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Bangor
Context triple: [Bangor Waterfront, governedBy, City of Bangor]
  • A. Bangor
    Bangor is a coastal town in Northern Ireland known for its marina, seaside resort heritage, and role as a commuter hub for nearby Belfast.
  • B. Bangor
    Bangor is a historic cathedral city in northwest Wales, known for its university and scenic location near the Menai Strait.
  • C. Bangor metropolitan area chosen
    The Bangor metropolitan area is a regional urban and economic hub in central-eastern Maine centered on the city of Bangor and its surrounding communities.
  • D. City of Pembroke
    The City of Pembroke is a small Canadian city on the Ottawa River in eastern Ontario, known as a regional service and commercial hub for the Ottawa Valley.
  • E. Town of Belfast
    The Town of Belfast is a small rural municipality in western New York State known for its agricultural landscape and location within Allegany County.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632b7fb88190821f213620719d6b completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfafcd3908190aabf7975017ce337 completed March 21, 2026, 1:57 a.m.
Created at: March 20, 2026, 1:15 p.m.