Triple

T5050422
Position Surface form Disambiguated ID Type / Status
Subject Arpitania E113770 entity
Predicate historicallySpokenLanguage P1434 FINISHED
Object Arpitan E52559 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: Arpitan | Statement: [Arpitania, historicallySpokenLanguage, Arpitan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arpitan
Context triple: [Arpitania, historicallySpokenLanguage, Arpitan]
  • A. Arpitan chosen
    Arpitan is a Romance language traditionally spoken in parts of France, Switzerland, and Italy, particularly in the Alpine region.
  • B. 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.
  • C. La Salle
    La Salle is a small alpine municipality in Italy’s Aosta Valley, known for its scenic mountain landscapes and proximity to Mont Blanc.
  • D. La Praille
    La Praille is an urban district in the municipality of Lancy, near Geneva, known for its commercial centers, stadium, and mixed-use developments.
  • E. Paris Union
    The Paris Union is the international organization of member states that administers and cooperates under the Paris Convention framework to protect industrial property such as patents, trademarks, and industrial designs.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7425df74819091cfde348dd16a68 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0f746788190bf73b8b5069e89cb completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:37 p.m.