Triple

T2255172
Position Surface form Disambiguated ID Type / Status
Subject Chêne-Bourg E49704 entity
Predicate belongsToRegion P285 FINISHED
Object Romandy E2947 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: Romandy | Statement: [Chêne-Bourg, belongsToRegion, Romandy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romandy
Context triple: [Chêne-Bourg, belongsToRegion, Romandy]
  • A. Romandy chosen
    Romandy is the French-speaking western region of Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • B. Lia Rumantscha
    Lia Rumantscha is the main organization dedicated to promoting, standardizing, and preserving the Romansh language in Switzerland.
  • C. Romandie
    Romandie is the French-speaking region of western Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • D. Franco-Provençal (Arpitan)
    Franco-Provençal (Arpitan) is a Romance language historically spoken in parts of France, Switzerland, and Italy, distinct from both French and Occitan and now considered endangered.
  • E. Swiss Germans
    Swiss Germans are a German-speaking ethnic subgroup primarily inhabiting the German-speaking regions of Switzerland, distinguished by their Alemannic dialects and Swiss cultural identity.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc121af78819085b2e601d2f9bcdf completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71c487908190903e06bcb2393484 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:47 p.m.