Triple

T19677386
Position Surface form Disambiguated ID Type / Status
Subject Shina language E472489 entity
Predicate spokenInValley P38864 FINISHED
Object Astore 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: Astore Valley | Statement: [Shina language, spokenInValley, Astore Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astore Valley
Context triple: [Shina language, spokenInValley, Astore Valley]
  • A. Astore Valley chosen
    Astore Valley is a picturesque mountainous valley in northern Pakistan known for its lush landscapes, trekking routes, and proximity to Nanga Parbat in the Himalayas.
  • B. Johar Valley
    Johar Valley is a high-altitude Himalayan valley in Uttarakhand, India, known for its historic trade routes with Tibet and scenic alpine landscapes.
  • C. Bohtan Valley
    Bohtan Valley is a mountainous river valley in southeastern Turkey known for its rugged terrain and the course of the Bohtan River through the region.
  • D. Shala valley
    Shala Valley is a remote, scenic river valley in the Albanian Alps known for its dramatic mountain landscapes, turquoise waters, and traditional highland villages.
  • E. Rana valley
    Rana valley is a river valley in the Mo i Rana area of northern Norway, known for its rugged landscapes and surrounding 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bceef881909c5b655af709c8c6 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.