Triple

T7840911
Position Surface form Disambiguated ID Type / Status
Subject Zhangjiajie E181799 entity
Predicate contains P35 FINISHED
Object Sangzhi County E575681 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: Sangzhi County | Statement: [Zhangjiajie, contains, Sangzhi County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangzhi County
Context triple: [Zhangjiajie, contains, Sangzhi County]
  • A. Sangzhi County chosen
    Sangzhi County is a mountainous county in northwestern Hunan Province, China, known as the birthplace of prominent Communist military leader He Long and for its ethnic Tujia culture and scenic karst landscapes.
  • B. Yingshang County
    Yingshang County is an administrative county in Anhui Province, China, governed by the prefecture-level city of Fuyang.
  • C. Jize County
    Jize County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China.
  • D. Linquan County
    Linquan County is an administrative county in western Anhui Province, China, governed by the prefecture-level city of Fuyang.
  • E. Minqing County
    Minqing County is an administrative county under the jurisdiction of Fuzhou in Fujian Province, southeastern China, known for its mountainous terrain and traditional rural communities.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aca5e348190bb73fc4748093248 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.