Triple

T4455503
Position Surface form Disambiguated ID Type / Status
Subject Rabbi Shlomo Yitzchaki E97710 entity
Predicate burialPlace P196 FINISHED
Object Troyes area E73536 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: Troyes area | Statement: [Rabbi Shlomo Yitzchaki, burialPlace, Troyes area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Troyes area
Context triple: [Rabbi Shlomo Yitzchaki, burialPlace, Troyes area]
  • A. Reims metropolitan area
    The Reims metropolitan area is an urban agglomeration in northeastern France centered on the city of Reims, known for its historical cathedral and role in the Champagne wine region.
  • B. Troyes chosen
    Troyes is a historic city in northeastern France, known for its well-preserved medieval old town, half-timbered houses, and Gothic churches.
  • C. Sannois
    Sannois is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and location within the Val-d'Oise department.
  • D. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • E. Rouen metropolitan area
    The Rouen metropolitan area is an urban and economic hub in northern France centered on the historic city of Rouen along the Seine River.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f79ca481909338dda9f4f7171f completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62822643c8190a0af89f2896fde3e completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:33 p.m.