Triple

T12575320
Position Surface form Disambiguated ID Type / Status
Subject วัดอรุณ E300190 entity
Predicate เป็นสัญลักษณ์ของ P129 FINISHED
Object ประเทศไทย 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: ประเทศไทย | Statement: [วัดอรุณ, เป็นสัญลักษณ์ของ, ประเทศไทย]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ประเทศไทย
Context triple: [วัดอรุณ, เป็นสัญลักษณ์ของ, ประเทศไทย]
  • 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. THAI ASIA
    THAI ASIA is the airline callsign used by Thai AirAsia, a major low-cost carrier based in Thailand.
  • E. southern Thailand
    Southern Thailand is the culturally diverse, predominantly Malay-influenced southern region of Thailand, known for its tropical coasts, Islamic heritage, and proximity to Malaysia.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c2e5b88190a7cc16002b218d8a completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67190a20c8190918b465b67d25869 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 4:46 p.m.