Triple

T3007365
Position Surface form Disambiguated ID Type / Status
Subject Manche E81934 entity
Predicate containsCity P294 FINISHED
Object Avranches E322167 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: Avranches | Statement: [Manche, containsCity, Avranches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avranches
Context triple: [Manche, containsCity, Avranches]
  • A. Avranches chosen
    Avranches is a historic town in northwestern France, near Mont-Saint-Michel, known for its medieval heritage and role in the liberation of Normandy during World War II.
  • B. Brouage
    Brouage is a historic fortified coastal village in southwestern France, known as the birthplace of explorer Samuel de Champlain and once an important salt-trading port.
  • C. Yvetot
    Yvetot is a small town in the Seine-Maritime department of Normandy in northern France, historically known as the seat of a medieval "kingdom" within France.
  • D. Langeac
    Langeac is a small commune in south-central France, situated in the Haute-Loire department within the Auvergne-Rhône-Alpes region.
  • E. Louviers
    Louviers is a historic town in northern France’s Normandy region, known for its medieval architecture and former textile industry.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4a12508190a48ae1c86233d25e completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f3d2fc481908365a171d8dac0df completed March 12, 2026, 12:56 a.m.
Created at: March 8, 2026, 3 p.m.