Triple

T7002333
Position Surface form Disambiguated ID Type / Status
Subject King of Siam E162365 entity
Predicate country P26 FINISHED
Object Siam E5032 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: Siam | Statement: [King of Siam, country, Siam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siam
Context triple: [King of Siam, country, Siam]
  • A. Thailand chosen
    Thailand is a Southeast Asian nation known for its rich Buddhist culture, constitutional monarchy, and role as a regional hub for tourism and trade.
  • B. Myanmar
    Myanmar is a Southeast Asian nation bordered by India, China, and Thailand, known for its diverse ethnic groups, Buddhist heritage, and long history of military rule and political turmoil.
  • C. Kambojas
    The Kambojas were an ancient Indo-Iranian people mentioned in Indian and Persian sources, known for their warrior traditions and presence in regions around present-day Afghanistan and northwestern South Asia.
  • D. Cambodia
    Cambodia is a Southeast Asian nation known for its ancient Khmer civilization, the Angkor Wat temple complex, and a modern history marked by French colonial rule and the Khmer Rouge regime.
  • E. Laos
    Laos is a landlocked Southeast Asian country known for its mountainous terrain, Buddhist culture, and status as one of the region’s least developed but rapidly reforming economies.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc1115c48190a9363473ae21b6c1 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79436bb708190a67038a717dfa842 completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:33 p.m.