Triple

T5591423
Position Surface form Disambiguated ID Type / Status
Subject Vaucluse spring E146885 entity
Predicate hasFrenchName P744 FINISHED
Object Source de la Sorgue E21172 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: Source de la Sorgue | Statement: [Vaucluse spring, hasFrenchName, Source de la Sorgue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Source de la Sorgue
Context triple: [Vaucluse spring, hasFrenchName, Source de la Sorgue]
  • A. Sorgue River chosen
    The Sorgue River is a picturesque waterway in southeastern France, known for its clear springs, historic waterwheels, and scenic Provençal towns along its banks.
  • B. Aveyron River
    The Aveyron River is a waterway in southern France known for flowing through scenic gorges and historic towns before joining the Tarn River.
  • C. Drôme River
    The Drôme River is a scenic waterway in southeastern France known for flowing through the Drôme department and the foothills of the Alps before joining the Rhône.
  • D. Durance River
    The Durance River is a significant river in southeastern France that flows through the Alps and Provence before joining the Rhône.
  • E. River Suze
    River Suze is a small river in the Jura region of Switzerland that flows through the town of Saint-Imier and contributes to the area's industrial and historical development.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020a3365c8190bd223226c0a6969f completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286852148190ad4975fe746d7001 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:38 p.m.