Triple

T8759743
Position Surface form Disambiguated ID Type / Status
Subject Cantabria E208164 entity
Predicate hasTraditionalRegion P14194 FINISHED
Object Saja-Nansa
Saja-Nansa is a traditional inland and coastal comarca in western Cantabria, northern Spain, known for its river valleys, rural landscapes, and small historic villages.
 E754683 NE FINISHED

How this triple was built (4 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: Saja-Nansa | Statement: [Cantabria, hasTraditionalRegion, Saja-Nansa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saja-Nansa
Context triple: [Cantabria, hasTraditionalRegion, Saja-Nansa]
  • A. Saho River
    The Saho River is a Japanese river in the Kansai region that forms part of the Yamato River system.
  • B. Heran River
    The Heran River is a significant tributary that feeds into the Rewa River, contributing to its flow and regional drainage system.
  • C. Kosa River
    The Kosa River is a waterway in Russia that flows through the Perm Krai region as part of the Kama River basin.
  • D. Geba River
    The Geba River is a major West African waterway that flows through Guinea-Bissau to the Atlantic Ocean, forming an important estuary and transport route for the region.
  • E. Son Sen
    Son Sen was a senior Khmer Rouge leader who oversaw internal security and mass purges in Democratic Kampuchea under Pol Pot’s regime.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Saja-Nansa
Triple: [Cantabria, hasTraditionalRegion, Saja-Nansa]
Generated description
Saja-Nansa is a traditional inland and coastal comarca in western Cantabria, northern Spain, known for its river valleys, rural landscapes, and small historic villages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saja-Nansa
Target entity description: Saja-Nansa is a traditional inland and coastal comarca in western Cantabria, northern Spain, known for its river valleys, rural landscapes, and small historic villages.
  • A. Saho River
    The Saho River is a Japanese river in the Kansai region that forms part of the Yamato River system.
  • B. Heran River
    The Heran River is a significant tributary that feeds into the Rewa River, contributing to its flow and regional drainage system.
  • C. Kosa River
    The Kosa River is a waterway in Russia that flows through the Perm Krai region as part of the Kama River basin.
  • D. Geba River
    The Geba River is a major West African waterway that flows through Guinea-Bissau to the Atlantic Ocean, forming an important estuary and transport route for the region.
  • E. Son Sen
    Son Sen was a senior Khmer Rouge leader who oversaw internal security and mass purges in Democratic Kampuchea under Pol Pot’s regime.
  • F. None of above. chosen

Provenance (5 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5df81c58819089af99306e103dbb completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf434bcac08190be07175a26804185 completed April 3, 2026, 4:34 a.m.
NEDg Description generation batch_69cf452b237c8190958f7b42e9611e7b completed April 3, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69cf45e6f4108190ac6955264b466abb completed April 3, 2026, 4:45 a.m.
Created at: March 30, 2026, 6:40 p.m.