Triple

T2042849
Position Surface form Disambiguated ID Type / Status
Subject Île Saint-Louis E44782 entity
Predicate hasBridge P386 FINISHED
Object Pont Marie E206953 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: Pont Marie | Statement: [Île Saint-Louis, hasBridge, Pont Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pont Marie
Context triple: [Île Saint-Louis, hasBridge, Pont Marie]
  • A. Pont Marie chosen
    Pont Marie is a historic stone bridge in central Paris that spans the Seine, connecting the Île Saint-Louis to the Right Bank.
  • B. District Pier
    District Pier is a prominent waterfront event and gathering space at The Wharf development along Washington, D.C.’s Southwest Waterfront.
  • C. Colma
    Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
  • D. The Wharf
    The Wharf is a major mixed-use waterfront development in Washington, D.C., featuring residences, restaurants, entertainment venues, and public spaces along the Potomac River.
  • E. Town Pier
    Town Pier is a historic riverside pier in Gravesend, England, serving as a local landmark and passenger landing stage on the River Thames.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95587348190bb5719faeaf0aa5d completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ffe98248190b6a4428c6c094d35 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.