Triple

T19570751
Position Surface form Disambiguated ID Type / Status
Subject Frachey E489706 entity
Predicate isPartOf P10 FINISHED
Object Ayas 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: Ayas Valley | Statement: [Frachey, isPartOf, Ayas Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayas Valley
Context triple: [Frachey, isPartOf, Ayas Valley]
  • A. Ayas Valley chosen
    Ayas Valley is a scenic alpine valley in Italy’s Aosta region, known as a popular access route to major peaks in the Pennine Alps, including Pollux.
  • B. Pancarlık Valley
    Pancarlık Valley is a scenic area in Cappadocia, Turkey, known for its rock formations, hiking trails, and historic rock-cut churches adorned with frescoes.
  • C. Yaeda Valley
    Yaeda Valley is a culturally and ecologically significant valley in northern Tanzania, known as part of the traditional homeland of the Hadza people and for its important wildlife and savanna landscapes.
  • D. Ihlara Valley
    Ihlara Valley is a dramatic canyon in Turkey’s Cappadocia region, famed for its lush river gorge, rock-cut churches, and ancient cave dwellings.
  • E. Siran Valley
    Siran Valley is a scenic mountainous valley in Pakistan’s Khyber Pakhtunkhwa province, known for its lush landscapes, rivers, and cool climate that attract tourists and nature lovers.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402043588190a99f5a55c5dcd8a6 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.