Triple

T10307420
Position Surface form Disambiguated ID Type / Status
Subject Sarine district E241799 entity
Predicate borders P224 FINISHED
Object Veveyse district E230591 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: Veveyse district | Statement: [Sarine district, borders, Veveyse district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veveyse district
Context triple: [Sarine district, borders, Veveyse district]
  • A. Veveyse district chosen
    Veveyse district is an administrative district in the canton of Fribourg in western Switzerland, known for its rural landscapes and French-speaking communities.
  • B. Kepez district
    Kepez district is an administrative area of Antalya, Turkey, known for its natural attractions and urban development, including the scenic Upper Düden Waterfall.
  • C. Maçka district
    Maçka district is a mountainous area in Turkey’s Trabzon Province, known for its lush forests and as the home of the historic Sumela Monastery.
  • D. Siyazan District
    Siyazan District is an administrative region in northeastern Azerbaijan known for its location along the Caspian Sea coast and its role in the country’s oil and agricultural sectors.
  • E. Avas district
    Avas district is a residential and historical neighborhood in the Hungarian city of Miskolc, known for its hillside location, TV tower, and panel housing estates.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d328272c8190a3548d7f7f38cfc4 completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d6867488190bc41eeec7666af38 completed April 9, 2026, 3:30 a.m.
Created at: April 6, 2026, 11:46 a.m.