Triple

T2802622
Position Surface form Disambiguated ID Type / Status
Subject Cincinnati E53180 entity
Predicate hasLandmark P105 FINISHED
Object Fountain Square E260500 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: Fountain Square | Statement: [Cincinnati, hasLandmark, Fountain Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fountain Square
Context triple: [Cincinnati, hasLandmark, Fountain Square]
  • A. Fountain Square chosen
    Fountain Square is a prominent public plaza and gathering place in downtown Cincinnati, Ohio, known for its central fountain, events, and role as a civic and cultural hub.
  • B. Sullivan Square
    Sullivan Square is a neighborhood in the Charlestown area of Boston, Massachusetts, known historically as a major transportation hub and gateway to the city.
  • C. Court Square
    Court Square is a New York City Subway complex in Long Island City, Queens, serving as a key transfer point between multiple subway lines.
  • D. Courthouse Square
    Courthouse Square is a central public plaza and community gathering space in downtown Redwood City, California, known for hosting events, concerts, and civic activities.
  • E. Burg Square
    Burg Square is a historic central square in Bruges, Belgium, known for its medieval architecture and important civic and religious buildings.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde12b33481908b276760a922db9c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8a5c364819092b01e90ee40e155 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:58 p.m.