Triple

T21201871
Position Surface form Disambiguated ID Type / Status
Subject Vanji language E522473 entity
Predicate region P40 FINISHED
Object Vanj Valley 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: Vanj Valley | Statement: [Vanji language, region, Vanj Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanj Valley
Context triple: [Vanji language, region, Vanj Valley]
  • A. Vanj Valley chosen
    Vanj Valley is a mountainous valley in Tajikistan’s Pamir region, known for its dramatic alpine landscapes and traditional rural settlements.
  • B. Vipava Valley
    Vipava Valley is a picturesque wine-growing region in western Slovenia known for its mild climate, karst landscapes, and historic villages.
  • C. Pišnica Valley
    Pišnica Valley is a scenic alpine valley in northwestern Slovenia, known for its clear mountain river, dramatic peaks, and popular hiking and nature trails.
  • D. Abava Valley
    Abava Valley is a scenic river valley in Latvia known for its picturesque landscapes, cultural heritage, and status as a protected nature area.
  • E. Gusinje valley
    Gusinje valley is a scenic mountainous valley in northeastern Montenegro, known for its dramatic landscapes, rivers, and proximity to the Prokletije (Accursed) Mountains.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73431973c81908c8682d7808a9d13 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.