Triple

T23434709
Position Surface form Disambiguated ID Type / Status
Subject Port of Huanghua E563425 entity
Predicate administrativeArea P8215 FINISHED
Object Cangzhou City 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: Cangzhou City | Statement: [Port of Huanghua, administrativeArea, Cangzhou City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cangzhou City
Context triple: [Port of Huanghua, administrativeArea, Cangzhou City]
  • A. Cangzhou chosen
    Cangzhou is a prefecture-level city in eastern Hebei Province, China, known for its location near the Bohai Sea and its traditional martial arts heritage.
  • B. Zhuozhou City
    Zhuozhou City is a county-level city in Hebei Province, China, located southwest of Beijing and known for its role as a regional transportation and agricultural hub.
  • C. Hengshui
    Hengshui is a prefecture-level city in southeastern Hebei Province, China, known for its traditional culture, agriculture, and growing industrial base.
  • D. Baoding
    Baoding is a historic prefecture-level city in central Hebei Province, China, known as a regional transportation hub and former military and administrative center.
  • E. Xingtai
    Xingtai is a historic prefecture-level city in southern Hebei Province, China, known as one of the country’s oldest cities and an important regional industrial and transportation hub.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5daabcc819094446a80723a487b completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:49 p.m.