Triple

T12627562
Position Surface form Disambiguated ID Type / Status
Subject G65 Baotou–Maoming Expressway E301554 entity
Predicate connectsCity P4245 FINISHED
Object Ankang E204096 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: Ankang | Statement: [G65 Baotou–Maoming Expressway, connectsCity, Ankang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ankang
Context triple: [G65 Baotou–Maoming Expressway, connectsCity, Ankang]
  • A. Ankang chosen
    Ankang is a prefecture-level city in southern Shaanxi Province, China, known for its mountainous terrain and location along the Han River.
  • B. Bo'an
    Bo'an is the courtesy name of Wang Yangming, the influential Ming dynasty philosopher, statesman, and Neo-Confucian thinker.
  • C. Guanghe
    Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
  • D. Raoping
    Raoping is a coastal county in eastern Guangdong, China, known for its Teochew culture and strategic location along major transport routes.
  • E. Huai-an
    Huai-an is an older romanized spelling of Huaian, a prefecture-level city in Jiangsu Province, China, known for its historical significance and canal-based waterways.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610b91dc8190a9abefb88447b0ae completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65edafc7c819088bd641542a32e39 completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:14 p.m.