Triple

T15265696
Position Surface form Disambiguated ID Type / Status
Subject Quzhou E364895 entity
Predicate borders P224 FINISHED
Object Huangshan E84956 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: Huangshan | Statement: [Quzhou, borders, Huangshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huangshan
Context triple: [Quzhou, borders, Huangshan]
  • A. Huangshan chosen
    Huangshan is a famous mountain range in eastern China renowned for its dramatic granite peaks, ancient pine trees, hot springs, and sea-of-clouds scenery, and is a UNESCO World Heritage Site.
  • B. Jiulongshan
    Jiulongshan is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
  • C. Jiugong Mountain
    Jiugong Mountain is a scenic mountainous area in Hubei Province, China, known for its natural beauty, Buddhist temples, and popular hiking routes.
  • D. Lushan Mountain
    Lushan Mountain is a famous scenic and cultural mountain area in southeastern China, renowned for its dramatic cliffs, misty landscapes, and historical significance as a UNESCO World Heritage Site.
  • E. Mount Huangbo
    Mount Huangbo is a mountain in Fujian, China, historically renowned as a center of Chan (Zen) Buddhism and the site where the influential Zen master Huangbo Xiyun taught.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00851c5b88190a296b6a105d3ee30 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee600340c8190a1888d35c2c1bc86 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.