Triple

T4857340
Position Surface form Disambiguated ID Type / Status
Subject Manali E108568 entity
Predicate district P2709 FINISHED
Object Kullu district E75128 NE FINISHED

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: Kullu district | Statement: [Manali, district, Kullu district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kullu district
Context triple: [Manali, district, Kullu district]
  • A. 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.
  • B. Kullu chosen
    Kullu is a picturesque town in northern India’s Himalayas, known for its scenic valley, adventure tourism, and vibrant Dussehra festival.
  • C. Sibi District
    Sibi District is an administrative district in the Balochistan province of Pakistan, centered around the historic town of Sibi.
  • D. Kangra district
    Kangra district is a picturesque administrative region in the Indian state of Himachal Pradesh, known for its Himalayan landscapes, tea gardens, and historic temples.
  • E. Chamba district
    Chamba district is an administrative region in the northern Indian state of Himachal Pradesh, known for its historic temples, Himalayan landscapes, and rich cultural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3f24688190b2f2b79bcde96973 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89d9e6688190b8a8ad3137148e50 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:26 p.m.