Triple

T17831098
Position Surface form Disambiguated ID Type / Status
Subject Sartène E445256 entity
Predicate locatedNear P294 FINISHED
Object Propriano 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: Propriano | Statement: [Sartène, locatedNear, Propriano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Propriano
Context triple: [Sartène, locatedNear, Propriano]
  • A. Propriano chosen
    Propriano is a coastal town and popular seaside resort on the southwest coast of the French island of Corsica, known for its marina, beaches, and scenic Gulf of Valinco setting.
  • B. Propriá
    Propriá is a municipality in the Brazilian state of Sergipe, known for its riverside location and economic activities linked to the São Francisco River.
  • C. Oliena
    Oliena is a historic town in central Sardinia, Italy, known for its traditional Barbagia culture, mountainous landscapes, and renowned Nepente di Oliena wine.
  • D. Rasina
    Rasina is a river in central Serbia that flows through the Rasina District before joining the West Morava River.
  • E. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d248ecc8190b3f0d001b539d960 completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:15 a.m.