Triple

T3874034
Position Surface form Disambiguated ID Type / Status
Subject Operation Nekka E92453 entity
Predicate location P40 FINISHED
Object Rehe Province E44869 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: Rehe Province | Statement: [Operation Nekka, location, Rehe Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rehe Province
Context triple: [Operation Nekka, location, Rehe Province]
  • A. Huari Province
    Huari Province is an administrative division in the Ancash Region of central Peru, known for encompassing the important archaeological site of Chavín de Huántar.
  • B. Maipo Province
    Maipo Province is an administrative division in central Chile, located in the Santiago Metropolitan Region and known for its agricultural areas and proximity to the capital.
  • C. Sichuan Province
    Sichuan Province is a populous landlocked region in southwestern China known for its spicy cuisine, rich cultural heritage, and diverse mountainous landscapes including parts of the Tibetan Plateau.
  • D. Mengjiang chosen
    Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
  • E. Guizhou Province
    Guizhou Province is a mountainous, ethnically diverse region in southwest China known for its karst landscapes, cool climate, and rapid economic development.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec59bea08190b1e193f34944a2ee completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c83512c81908db2e442b7d2aca0 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:20 p.m.