Triple

T12494370
Position Surface form Disambiguated ID Type / Status
Subject Port Arthur E298645 entity
Predicate hasCurrentName P1213 FINISHED
Object Lüshunkou District E337079 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: Lüshunkou District | Statement: [Port Arthur, hasCurrentName, Lüshunkou District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lüshunkou District
Context triple: [Port Arthur, hasCurrentName, Lüshunkou District]
  • A. Lüshunkou District chosen
    Lüshunkou District is a strategically important coastal district of Dalian in northeastern China, historically known as Port Arthur and noted for its military significance and ice-free harbor.
  • B. Shuangxi District
    Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
  • C. Longquanyi District
    Longquanyi District is an urban district of Chengdu in Sichuan Province, China, known for its rapid development and sports facilities.
  • D. Honggu District
    Honggu District is an administrative urban district of Lanzhou in Gansu Province, China, known for its role in the city's industrial and resource-based development.
  • E. Tianxin District
    Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de4089c8190917a45365e641437 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb096d881908dfd2a7126632d96 completed May 3, 2026, 4:14 a.m.
Created at: April 8, 2026, 9:56 p.m.