Triple

T7916600
Position Surface form Disambiguated ID Type / Status
Subject Sainte-Chapelle E183842 entity
Predicate dedicatedTo P500 FINISHED
Object Saint Louis E249388 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: Saint Louis | Statement: [Sainte-Chapelle, dedicatedTo, Saint Louis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Louis
Context triple: [Sainte-Chapelle, dedicatedTo, Saint Louis]
  • A. Saint Louis chosen
    Saint Louis is the canonized 13th-century king of France renowned for his piety, participation in the Crusades, and role in strengthening the French monarchy.
  • B. Paris, Missouri
    Paris, Missouri is a small rural city that serves as the county seat of Monroe County in northeastern Missouri, United States.
  • C. St. Louis metropolitan area
    The St. Louis metropolitan area is a bi-state urban region centered on the city of St. Louis, spanning parts of Missouri and Illinois and serving as a major Midwestern hub for culture, education, and industry.
  • D. Philadelphia, Missouri
    Philadelphia, Missouri is a small unincorporated community located in Marion County in the northeastern part of the state.
  • E. Place Saint-Louis
    Place Saint-Louis is a historic medieval square in Metz, France, known for its arcaded houses and lively cafés.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a76ae688190b068e4c92603a16d completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf9fc6bff48190b2f73e4c8c8b627a completed April 3, 2026, 11:08 a.m.
Created at: March 30, 2026, 5:05 p.m.