Triple

T9952171
Position Surface form Disambiguated ID Type / Status
Subject Line P E195355 entity
Predicate servesTown P847 FINISHED
Object Provins E326197 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: Provins | Statement: [Line P, servesTown, Provins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Provins
Context triple: [Line P, servesTown, Provins]
  • A. Provins chosen
    Provins is a historic medieval town in north-central France renowned for its well-preserved fortifications and UNESCO World Heritage status.
  • 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. Dijon
    Dijon is a historic city in eastern France renowned for its rich architectural heritage, former status as the capital of the Duchy of Burgundy, and its famous mustard.
  • D. Montbard
    Montbard is a small historic town in the Côte-d'Or department of eastern France, known for its Burgundian heritage and association with naturalist Georges-Louis Leclerc, Comte de Buffon.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6922f888190b5c4b58fbe21bea2 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71c3fa4b88190be4ce7b64335a99f completed April 9, 2026, 3:25 a.m.
Created at: March 30, 2026, 8:46 p.m.