Triple

T4841023
Position Surface form Disambiguated ID Type / Status
Subject Auxerre Cathedral E108178 entity
Predicate city P40 FINISHED
Object Auxerre E123045 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: Auxerre | Statement: [Auxerre Cathedral, city, Auxerre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auxerre
Context triple: [Auxerre Cathedral, city, Auxerre]
  • A. Auxerre chosen
    Auxerre is a historic city in the Burgundy region of central France, known for its medieval architecture, Gothic cathedral, and role as a regional cultural and economic center.
  • B. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • C. Auxonne
    Auxonne is a historic commune in eastern France’s Bourgogne-Franche-Comté region, known for its riverside setting, military heritage, and association with Napoleon Bonaparte.
  • D. Bar-le-Duc
    Bar-le-Duc is a historic town in northeastern France, known as the former capital of the Duchy of Bar and for its Renaissance architecture and traditional mirabelle plum jam.
  • E. Brioude
    Brioude is a historic town in south-central France known for its Romanesque Basilica of Saint-Julien and its location in the Haute-Loire department of the Auvergne region.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cfbfbb08190b4580ebb2eb845b2 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70c144d88190a36bbb0b12413fc0 completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 1:25 p.m.