Triple

T17508792
Position Surface form Disambiguated ID Type / Status
Subject Shishi E426394 entity
Predicate locatedNear P294 FINISHED
Object Jinjiang 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: Jinjiang | Statement: [Shishi, locatedNear, Jinjiang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinjiang
Context triple: [Shishi, locatedNear, Jinjiang]
  • A. Jinjiang chosen
    Jinjiang is a county-level coastal city in southeastern Fujian Province, China, known as a major center for footwear and textile manufacturing.
  • B. Ningde
    Ningde is a coastal prefecture-level city in northeastern Fujian Province, China, known for its mountainous landscapes, marine economy, and as the headquarters of battery giant CATL.
  • C. Yong’an
    Yong’an was the era name used during part of Eastern Wu emperor Sun Xiu’s reign in the Three Kingdoms period of Chinese history.
  • D. Yongding
    Yongding was a Chinese era name used during the Chen dynasty, marking a specific reign period in the Southern Dynasties.
  • E. Jian'ou
    Jian'ou is a county-level city in northern Fujian Province, China, administered by the prefecture-level city of Nanping and known for its historical and cultural heritage.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525a43208190b8728214767428c0 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.