Triple

T17592184
Position Surface form Disambiguated ID Type / Status
Subject Gare de Caen E428473 entity
Predicate connectsTo P845 FINISHED
Object Argentan NE NERFINISHED

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: Argentan | Statement: [Gare de Caen, connectsTo, Argentan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentan
Context triple: [Gare de Caen, connectsTo, Argentan]
  • A. Argentan chosen
    Argentan is a historic town in the Orne department of Normandy, northwestern France, known for its lace-making tradition and World War II history.
  • B. Argentaria
    Argentaria was a Spanish state-owned banking group that later merged into what is now Banco Bilbao Vizcaya Argentaria (BBVA).
  • C. Argen
    Argen is a river in southern Germany that flows through the Allgäu region before emptying into Lake Constance.
  • D. Argentina
    Argentina is a large South American nation known for its diverse landscapes from the Andes to the Pampas, its vibrant culture including tango and football, and its capital city Buenos Aires.
  • E. Argentina
    Argentina is a genus of flowering plants in the rose family (Rosaceae), commonly known for species resembling cinquefoils and often found in temperate and alpine regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e79dac8190953a1ce8fc015b20 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.