Triple

T11355793
Position Surface form Disambiguated ID Type / Status
Subject Civil Service School E268945 entity
Predicate region P40 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: [Civil Service School, region, Siam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siam
Context triple: [Civil Service School, region, 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. Saovabha Phongsri
    Saovabha Phongsri was a queen consort of Siam (Thailand), noted as one of King Chulalongkorn’s principal wives and the mother of several future Thai kings.
  • C. Thái
    Thái is a Vietnamese family name commonly borne by individuals such as the military leader Hoàng Văn Thái.
  • D. 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.
  • E. Khatai
    Khatai was the poetic pen name of Shah Ismail I, the founder of the Safavid dynasty and an influential Azerbaijani-Turkic poet.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea404e0c8190befe349b45918b38 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8be6d448190ba1e7197f8fc01c2 completed April 20, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:33 p.m.