Triple

T17548514
Position Surface form Disambiguated ID Type / Status
Subject Garhwal Himalaya E427391 entity
Predicate contains P35 FINISHED
Object Gaumukh 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: Gaumukh | Statement: [Garhwal Himalaya, contains, Gaumukh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaumukh
Context triple: [Garhwal Himalaya, contains, Gaumukh]
  • A. Gomukh chosen
    Gomukh is a revered Himalayan ice-cave and pilgrimage site in Uttarakhand, India, regarded as the mythological source of the Ganges River.
  • B. Kheerganga
    Kheerganga is a popular high-altitude trekking destination in Himachal Pradesh, India, known for its scenic Himalayan views and natural hot springs.
  • C. Mahadev Dighi
    Mahadev Dighi is a notable lake in Udaipur, Tripura, known locally for its scenic and cultural significance.
  • D. Kumukh
    Kumukh is a historic mountain village in Dagestan, Russia, traditionally regarded as a cultural and political center of the Lak people.
  • E. Gangotri
    Gangotri is a 2003 Telugu-language romantic drama film directed by K. Raghavendra Rao, notable for introducing Allu Arjun in his first leading role.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454631e148190a1d46a6ecb79c71a completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:49 a.m.