Triple

T5559789
Position Surface form Disambiguated ID Type / Status
Subject Hải Dương E145735 entity
Predicate officialName P66 FINISHED
Object Thành phố Hải Dương E145735 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: Thành phố Hải Dương | Statement: [Hải Dương, officialName, Thành phố Hải Dương]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thành phố Hải Dương
Context triple: [Hải Dương, officialName, Thành phố Hải Dương]
  • A. Nam Dinh City
    Nam Dinh City is the capital and largest urban center of Nam Dinh Province in northern Vietnam, known historically as an important cultural and industrial hub in the Red River Delta.
  • B. Hải Dương chosen
    Hải Dương is a provincial city in northern Vietnam known historically as an important administrative and commercial center in the Red River Delta region.
  • C. Pinghu City
    Pinghu City is a county-level coastal city in northern Zhejiang Province, China, known for its manufacturing industry and proximity to Shanghai across Hangzhou Bay.
  • D. Hengshui
    Hengshui is a prefecture-level city in southeastern Hebei Province, China, known for its traditional culture, agriculture, and growing industrial base.
  • E. Hai Phong
    Hai Phong is a major port city in northern Vietnam known for its industrial economy and coastal location.
  • 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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020167afc8190b0c518907cd0d99b completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028424ddc8190869b530a8eb43f50 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:36 p.m.