Triple

T17750588
Position Surface form Disambiguated ID Type / Status
Subject Komic E443100 entity
Predicate partOf P40 FINISHED
Object Spiti region 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: Spiti region | Statement: [Komic, partOf, Spiti region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spiti region
Context triple: [Komic, partOf, Spiti region]
  • A. Spiti Valley chosen
    Spiti Valley is a high-altitude, cold desert valley in the Indian Himalayas known for its stark landscapes, Buddhist monasteries, and remote, sparsely populated villages.
  • B. Kullu Pahari
    Kullu Pahari is an Indo-Aryan language spoken primarily in the Kullu Valley of Himachal Pradesh in northern India.
  • C. Kinnaur district
    Kinnaur district is a remote, mountainous district in the Indian state of Himachal Pradesh, known for its dramatic Himalayan landscapes, apple orchards, and rich blend of Hindu and Buddhist culture.
  • D. Chamba Pahari
    Chamba Pahari is an Indo-Aryan language variety spoken in and around the Chamba region of Himachal Pradesh in northern India.
  • E. Lahaul and Spiti district
    Lahaul and Spiti district is a high-altitude, sparsely populated region in the Indian state of Himachal Pradesh, known for its rugged Himalayan landscapes, Buddhist monasteries, and remote, cold desert terrain.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841a401c8190ae1dc0ed7ae4cc26 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.