Triple

T4893416
Position Surface form Disambiguated ID Type / Status
Subject Tibetan E109616 entity
Predicate primaryRegion P1103 FINISHED
Object Ladakh E76754 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: Ladakh | Statement: [Tibetan, primaryRegion, Ladakh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ladakh
Context triple: [Tibetan, primaryRegion, Ladakh]
  • A. Ladakh chosen
    Ladakh is a high-altitude, sparsely populated region in northern India known for its rugged mountains, Buddhist culture, and strategic location bordering Tibet and the Karakoram range.
  • B. Jammu and Kashmir
    Jammu and Kashmir is a northern region of the Indian subcontinent known for its mountainous terrain, strategic location, and long-standing political and territorial disputes.
  • C. Kashmir
    Kashmir is a disputed Himalayan region administered in parts by India, Pakistan, and China, renowned for its natural beauty and central to longstanding geopolitical tensions in South Asia.
  • D. Sikkim
    Sikkim is a small, mountainous Indian state in the eastern Himalayas known for its dramatic landscapes, Buddhist monasteries, and proximity to Mount Kanchenjunga.
  • E. Himachal Pradesh
    Himachal Pradesh is a mountainous state in northern India known for its Himalayan landscapes, hill stations, and tourism.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e257b0481909fd60eb29351b6d8 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89de55c48190a280ae0719b5a8b6 completed March 21, 2026, 12:06 p.m.
Created at: March 20, 2026, 1:28 p.m.