Triple

T13320966
Position Surface form Disambiguated ID Type / Status
Subject Jinan railway station E317312 entity
Predicate serves P98 FINISHED
Object city of Jinan E80751 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: city of Jinan | Statement: [Jinan railway station, serves, city of Jinan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Jinan
Context triple: [Jinan railway station, serves, city of Jinan]
  • A. Jinan chosen
    Jinan is the capital city of Shandong Province in eastern China, known for its numerous natural springs and rich historical and cultural heritage.
  • B. Taishan city
    Taishan city is a county-level coastal city in Guangdong Province, China, known for its overseas Chinese heritage and nearby islands such as Shangchuan Island.
  • C. Jining
    Jining is a city in Shandong Province, China, historically significant as a transport and commercial hub along the Grand Canal.
  • D. Qufu
    Qufu is an ancient city in eastern China renowned as the birthplace of Confucius and a major center of Confucian heritage.
  • E. Taian
    Taian is a prefecture-level city in eastern China's Shandong province, best known as the gateway to the sacred Mount Tai.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992ab83c8190982d9f54dff6919f completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcd08698e0819084f3098d471e7dc9 completed May 7, 2026, 5:48 p.m.
Created at: April 9, 2026, 9:30 p.m.