Triple

T8508711
Position Surface form Disambiguated ID Type / Status
Subject Contrast of Forms E201398 entity
Predicate creatorBirthPlace P1 FINISHED
Object Argentan, France E227509 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: Argentan, France | Statement: [Contrast of Forms, creatorBirthPlace, Argentan, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argentan, France
Context triple: [Contrast of Forms, creatorBirthPlace, Argentan, France]
  • 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. Franca
    Franca is a city in the northeastern part of the Brazilian state of São Paulo, known historically for its leather and footwear industry.
  • C. Lafrançaise, France
    Lafrançaise is a small commune in the Tarn-et-Garonne department of southern France, known for its rural charm and traditional French village atmosphere.
  • D. Argentaria
    Argentaria was a Spanish state-owned banking group that later merged into what is now Banco Bilbao Vizcaya Argentaria (BBVA).
  • E. Arpitanie
    Arpitanie is a cultural and linguistic region in parts of France, Switzerland, and Italy where the Arpitan (Franco-Provençal) language and related traditions are historically rooted.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5df74e8819086b1445cc907e371 completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e3faa0c81908533e9097ed29b26 completed April 2, 2026, 11:08 a.m.
Created at: March 30, 2026, 6:15 p.m.