Triple

T7967927
Position Surface form Disambiguated ID Type / Status
Subject China Import and Export Fair Complex E185251 entity
Predicate locatedNear P294 FINISHED
Object Pearl River E93586 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: Pearl River | Statement: [China Import and Export Fair Complex, locatedNear, Pearl River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pearl River
Context triple: [China Import and Export Fair Complex, locatedNear, Pearl River]
  • A. Pearl River
    The Pearl River is a major waterway in the southern United States that flows through central Mississippi and forms part of the Mississippi–Louisiana border before emptying into the Gulf of Mexico.
  • B. Pearl River chosen
    The Pearl River is a major river system in southern China that flows through key cities like Guangzhou before emptying into the South China Sea.
  • C. Tapi River
    The Tapi River is a major west-flowing river in central India that traverses Maharashtra, Madhya Pradesh, and Gujarat before emptying into the Arabian Sea.
  • D. Grande River
    The Grande River is a watercourse in Chile’s Limarí Province that contributes to the region’s agricultural irrigation and local watershed.
  • E. Grande River
    The Grande River is a significant river in Bolivia’s Santa Cruz Department, contributing to the region’s drainage and agricultural activities.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd06ee081908c5080003fb7b8f7 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbe086fc08190b41a2eb2193f6675 completed April 1, 2026, 6:41 a.m.
Created at: March 30, 2026, 5:13 p.m.