Triple

T17944288
Position Surface form Disambiguated ID Type / Status
Subject Laoshan Scenic Area E448663 entity
Predicate near P350 FINISHED
Object Qingdao urban area 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: Qingdao urban area | Statement: [Laoshan Scenic Area, near, Qingdao urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qingdao urban area
Context triple: [Laoshan Scenic Area, near, Qingdao urban area]
  • A. Qingdao chosen
    Qingdao is a major coastal city in eastern China known for its port, beaches, German colonial architecture, and Tsingtao Brewery.
  • B. Huangdao District, Qingdao
    Huangdao District is a coastal urban district of Qingdao in eastern China, known for its major port facilities, industrial development, and scenic beaches on the Shandong Peninsula.
  • C. Shibei District, Qingdao
    Shibei District is a central urban district of Qingdao, a major coastal city in eastern China’s Shandong Province.
  • D. Weifang
    Weifang is a prefecture-level city in eastern China known for its kite-making tradition and annual international kite festival.
  • E. 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.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad9819a88190ad4ea7d562cf3f28 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.