Triple

T21361187
Position Surface form Disambiguated ID Type / Status
Subject Mudanjiang E526781 entity
Predicate borderingPrefectureLevelDivision P49472 FINISHED
Object Qitaihe 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: Qitaihe | Statement: [Mudanjiang, borderingPrefectureLevelDivision, Qitaihe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qitaihe
Context triple: [Mudanjiang, borderingPrefectureLevelDivision, Qitaihe]
  • A. Qitaihe chosen
    Qitaihe is a small coal-mining city in northeastern China known for its rich mineral resources and location within Heilongjiang Province.
  • B. Tuqiao
    Tuqiao is a station in Beijing that serves as the eastern terminus of the city's Batong Line metro route.
  • C. Kaihui
    Kaihui is a Chinese given name most notably borne by Yang Kaihui, the revolutionary and early partner of Mao Zedong.
  • D. Heqing
    Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • E. Qiantan
    Qiantan is a rapidly developing financial and commercial district in Shanghai, China, positioned as a new urban center with modern offices, residences, and cultural facilities.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06a4e4c8190923741bfae0e4234 completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:08 p.m.