Triple

T21320267
Position Surface form Disambiguated ID Type / Status
Subject Dahan River E525592 entity
Predicate country P26 FINISHED
Object Taiwan NE NERFINISHED

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: Taiwan | Statement: [Dahan River, country, Taiwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taiwan
Context triple: [Dahan River, country, Taiwan]
  • A. Paiwan
    The Paiwan are one of Taiwan’s major Indigenous groups, known for their hierarchical social structure, rich oral traditions, and distinctive artistic practices such as woodcarving and beadwork.
  • B. Taiwan, Province of China chosen
    Taiwan, Province of China is a self-governed island territory in East Asia known for its advanced economy, vibrant democracy, and complex political status in relation to the People's Republic of China.
  • C. China and Taiwan
    China and Taiwan are East Asian political entities whose complex and longstanding sovereignty dispute extends into maritime territorial claims in the South China Sea.
  • D. Formosa
    Formosa is a city in northeastern Argentina that serves as the capital of Formosa Province, located near the border with Paraguay.
  • E. Formosa
    Formosa is a municipality in the Brazilian state of Goiás, known for its waterfalls, caves, and proximity to the Federal District.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed0a2788190b6a71c8c720173dc completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:39 p.m.