Triple

T15864889
Position Surface form Disambiguated ID Type / Status
Subject Coal Hill E384685 entity
Predicate hasAlternativeName P39 FINISHED
Object Jingshan Hill E338340 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: Jingshan Hill | Statement: [Coal Hill, hasAlternativeName, Jingshan Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jingshan Hill
Context triple: [Coal Hill, hasAlternativeName, Jingshan Hill]
  • A. Jingshan chosen
    Jingshan is the central artificial hill in Beijing’s Jingshan Park, historically built from excavated palace earth and known for its panoramic views over the Forbidden City.
  • B. Tianmen Mountain
    Tianmen Mountain is a famous scenic mountain in China renowned for its natural arch "Heaven’s Gate," winding cliffside roads, and one of the world’s longest cable car rides.
  • C. Yuejing Hill
    Yuejing Hill is one of the scenic hills within Guangzhou’s Yuexiu Park, known for its greenery, walking paths, and city views.
  • D. Suxian Hill
    Suxian Hill is a famous scenic mountain area in Chenzhou, Hunan Province, known for its striking rock formations, temples, and cultural legends.
  • E. Guanzhi Mountain
    Guanzhi Mountain is a scenic mountainous area in Longyan, Fujian, known for its striking rock formations, lush landscapes, and popular hiking routes.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1555e4ee48190a3b27b4ab9bdb1c8 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179d63688190bda2758ed4b4e4df completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 4:50 a.m.