Triple

T17126225
Position Surface form Disambiguated ID Type / Status
Subject Siang River E415602 entity
Predicate flowsFrom P17870 FINISHED
Object Tibet E35607 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: Tibet | Statement: [Siang River, flowsFrom, Tibet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tibet
Context triple: [Siang River, flowsFrom, Tibet]
  • A. Wallichia
    Wallichia is a genus of palms native to South and Southeast Asia, named in honor of the Danish botanist Nathaniel Wallich.
  • B. Nepal
    Nepal is a landlocked South Asian country in the Himalayas, known for Mount Everest, its rich cultural heritage, and its location between India and China.
  • C. Bhutan
    Bhutan is a small, landlocked Himalayan kingdom in South Asia known for its Buddhist culture, mountainous landscapes, and emphasis on Gross National Happiness.
  • D. Ü-Tsang
    Ü-Tsang is the central historical region of Tibet, encompassing Lhasa and serving as the traditional political and cultural heartland of Tibetan civilization.
  • E. Tibet Autonomous Region chosen
    The Tibet Autonomous Region is a vast, high-altitude region in southwest China, centered on the Tibetan Plateau and known for its unique Tibetan culture, Buddhism, and dramatic Himalayan landscapes including Mount Everest.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f026ae188190b8c1e08529719878 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a145e7481909242aab69baeb7a0 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.