Triple

T6301585
Position Surface form Disambiguated ID Type / Status
Subject François Mauriac E141266 entity
Predicate residence P75 FINISHED
Object Bordeaux, France E6982 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: Bordeaux, France | Statement: [François Mauriac, residence, Bordeaux, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bordeaux, France
Context triple: [François Mauriac, residence, Bordeaux, France]
  • A. Bordeaux
    Bordeaux is a popular See's Candies confection, typically a creamy brown sugar–butter center coated in chocolate and topped with chocolate sprinkles.
  • B. Bordeaux chosen
    Bordeaux is a renowned wine-producing region in southwestern France, famous for its prestigious red blends and long winemaking tradition.
  • C. Bordeaux wine region
    The Bordeaux wine region is a renowned area in southwestern France famous for its prestigious red, white, and sweet wines produced across numerous appellations.
  • D. Chatou, France
    Chatou, France is a suburban town on the River Seine near Paris, historically known as an artists’ retreat associated with Impressionist and Fauvist painters.
  • E. Montpellier, France
    Montpellier, France is a historic and vibrant city in southern France near the Mediterranean coast, known for its medieval architecture, large student population, and role as a regional cultural and economic center.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645bb41481909294b06e2b3e1845 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603fb43688190839af2ffea45df90 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:27 p.m.