Triple

T7384930
Position Surface form Disambiguated ID Type / Status
Subject Yuelu Mountain E170356 entity
Predicate partOf P40 FINISHED
Object Yuelu District E178103 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: Yuelu District | Statement: [Yuelu Mountain, partOf, Yuelu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuelu District
Context triple: [Yuelu Mountain, partOf, Yuelu District]
  • A. Yuelu District chosen
    Yuelu District is an urban district of Changsha in Hunan Province, China, known for its historical Yuelu Academy and scenic Yuelu Mountain.
  • B. Yueyanglou District
    Yueyanglou District is a central urban district of Yueyang City in Hunan Province, China, known for encompassing the historic Yueyang Tower area on the shores of Dongting Lake.
  • C. Yiling District
    Yiling District is an administrative district of Yichang in Hubei Province, China, known for its location along the Yangtze River and proximity to the Three Gorges region.
  • D. Taocheng District
    Taocheng District is the central urban district and administrative seat of Hengshui City in Hebei Province, China.
  • E. Wulingyuan District
    Wulingyuan District is an administrative area in Zhangjiajie, Hunan Province, China, best known for encompassing the famed Wulingyuan Scenic and Historic Interest Area with its dramatic sandstone pillars and natural landscapes.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1efe1308190b96eefbff56140be completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810e879e88190a421409194868587 completed March 28, 2026, 5:33 p.m.
Created at: March 27, 2026, 3:08 p.m.