Triple

T9505453
Position Surface form Disambiguated ID Type / Status
Subject Sarthe E229256 entity
Predicate contains P35 FINISHED
Object La Ferté-Bernard E813671 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: La Ferté-Bernard | Statement: [Sarthe, contains, La Ferté-Bernard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Ferté-Bernard
Context triple: [Sarthe, contains, La Ferté-Bernard]
  • A. La Ferté-Bernard chosen
    La Ferté-Bernard is a historic commune in northwestern France known for its medieval architecture and canals, located in the Sarthe department of the Pays de la Loire region.
  • B. La Ferté-Milon
    La Ferté-Milon is a small historic commune in northern France best known as the birthplace of the classical playwright Jean Racine.
  • C. Villeneuve-sur-Fère
    Villeneuve-sur-Fère is a small commune in northern France best known as the birthplace of the poet and dramatist Paul Claudel.
  • D. Serigny
    Serigny is a French given name historically associated with the colonial-era figure Serigny Le Moyne.
  • E. Boussy-Saint-Antoine
    Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9850fe6c8190a5a96cfae12562c6 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190d2397081909127cb356b956f35 completed April 4, 2026, 10:29 p.m.
Created at: March 30, 2026, 7:57 p.m.