Triple

T2943343
Position Surface form Disambiguated ID Type / Status
Subject Dragon King E79438 entity
Predicate firstMonarch P3535 FINISHED
Object Ugyen Wangchuck E79076 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: Ugyen Wangchuck | Statement: [Dragon King, firstMonarch, Ugyen Wangchuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ugyen Wangchuck
Context triple: [Dragon King, firstMonarch, Ugyen Wangchuck]
  • A. Druk Gyalpo chosen
    Druk Gyalpo is the official title of the hereditary monarch and head of state of the Kingdom of Bhutan.
  • B. Bhimsen Thapa
    Bhimsen Thapa was a prominent early 19th-century Nepalese statesman and military leader who served as Mukhtiyar (prime minister) of Nepal and played a key role in shaping the country’s foreign and military policy.
  • C. Nyima Gyaltsen
    Nyima Gyaltsen is a mountaineer known for leading the first successful ascent of Myanmar’s highest peak, Hkakabo Razi.
  • D. Wang Chhu
    Wang Chhu is a significant river in western Bhutan that flows south into India, supporting agriculture, hydropower, and settlements along its valley.
  • E. King Chattergy
    King Chattergy is a fictional monarch in Salman Rushdie’s novel "Haroun and the Sea of Stories," ruling the fantastical realm of Gup.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9871fc908190ad90e5b01b476b3f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0868d754c8190b075ca0fd902814a completed March 10, 2026, 9:01 p.m.
Created at: March 8, 2026, 2:56 p.m.