Triple

T19564051
Position Surface form Disambiguated ID Type / Status
Subject Baishan Dam E489531 entity
Predicate locatedNear P294 FINISHED
Object Baishan City 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: Baishan City | Statement: [Baishan Dam, locatedNear, Baishan City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baishan City
Context triple: [Baishan Dam, locatedNear, Baishan City]
  • A. Baishan chosen
    Baishan is a prefecture-level city in southeastern Jilin Province, China, known for its mountainous terrain, forest resources, and proximity to Changbai Mountain.
  • B. Hunchun
    Hunchun is a border city in northeastern China’s Jilin Province, known for its strategic location near the junction of China, Russia, and North Korea and its role in regional trade and development.
  • C. Jilin City
    Jilin City is a major industrial and transportation hub in northeastern China, situated along the Songhua River in central Jilin Province.
  • D. Yanji
    Yanji is a city in northeastern China’s Jilin Province, known as a cultural and economic center of the ethnic Korean community near the North Korean border.
  • E. Songyuan
    Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f75b2d481909fa3f603fe6bd5bd completed April 20, 2026, 3 p.m.
Created at: April 10, 2026, 1:42 p.m.