Triple

T13528129
Position Surface form Disambiguated ID Type / Status
Subject Saga city government E323063 entity
Predicate jurisdiction P82 FINISHED
Object Saga City E783028 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: Saga City | Statement: [Saga city government, jurisdiction, Saga City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saga City
Context triple: [Saga city government, jurisdiction, Saga City]
  • A. Saga City chosen
    Saga City is a regional administrative and cultural center on Japan’s Kyushu island, known for its historical sites, traditional crafts, and role as a transportation hub in Saga Prefecture.
  • B. Sunrise City
    Sunrise City is the coastal Florida city of Fort Pierce, known for its picturesque Atlantic Ocean sunrises and historic waterfront charm.
  • C. Sunrise City
    Sunrise City is the nickname of San Nicolas, highlighting its association with beautiful early-morning vistas and the dawn.
  • D. River City
    River City is a common nickname and place name in the United States, often referring to cities situated along major rivers and popularized in American culture and media.
  • E. River City
    River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafb8e0cc8190b47f6aeb8ced470e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d95ce008190a915fe5865c38ee5 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.