Triple

T9050000
Position Surface form Disambiguated ID Type / Status
Subject Binh Duong Province E216857 entity
Predicate hasMajorCity P316 FINISHED
Object Thu Dau Mot E775435 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: Thu Dau Mot | Statement: [Binh Duong Province, hasMajorCity, Thu Dau Mot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thu Dau Mot
Context triple: [Binh Duong Province, hasMajorCity, Thu Dau Mot]
  • A. Thu Dau Mot chosen
    Thu Dau Mot is a major urban and industrial city in southern Vietnam that serves as the administrative and economic center of Bình Dương Province.
  • B. Tam Coc–Bich Dong
    Tam Coc–Bich Dong is a famous scenic landscape complex in northern Vietnam known for its karst limestone mountains, rice paddies, and cave-punctuated river boat rides.
  • C. Yen Phu
    Yen Phu is a historic residential neighborhood in Hanoi, Vietnam, known for its traditional village atmosphere and scenic location along West Lake.
  • D. Tà Ôi
    The Tà Ôi are an ethnic minority group in central Vietnam known for their distinct language, traditional stilt houses, and rich weaving and musical heritage.
  • E. Do Muoi
    Do Muoi was a Vietnamese communist politician who served as General Secretary of the Communist Party of Vietnam in the early 1990s, playing a key role in the country’s post-war economic reforms.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b52cc1881909fb011d9a8af2e18 completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdbd54848190ba79d873321f4fc9 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:10 p.m.