Triple

T16361128
Position Surface form Disambiguated ID Type / Status
Subject Murça E397311 entity
Predicate region P40 FINISHED
Object Norte
Norte is a region in northern Portugal known for its historic cities, rich cultural heritage, and production of Port wine.
E1210956 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: Norte | Statement: [Murça, region, Norte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norte
Context triple: [Murça, region, Norte]
  • A. Suroeste
    Suroeste is a district of Santa Cruz de Tenerife known for its largely residential character and mix of urban and semi-rural areas on the island of Tenerife in Spain’s Canary Islands.
  • B. Oeste
    Oeste is a coastal subregion of central Portugal known for its Atlantic beaches, agricultural production, and historic towns.
  • C. Юго-Западная
    Юго-Западная is a Moscow Metro station on the Sokolnicheskaya Line, serving the southwestern part of the city.
  • D. Nordeste
    Nordeste is a picturesque municipality on the northeastern tip of São Miguel Island in the Azores, known for its dramatic coastal cliffs, lush landscapes, and scenic viewpoints.
  • E. The North
    The North is a vast, harsh, and sparsely populated region in the world of "Game of Thrones"/"A Song of Ice and Fire," known for its cold climate, fiercely independent people, and rule by House Stark from Winterfell.
  • 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: Norte
Triple: [Murça, region, Norte]
Generated description
Norte is a region in northern Portugal known for its historic cities, rich cultural heritage, and production of Port wine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Norte
Target entity description: Norte is a region in northern Portugal known for its historic cities, rich cultural heritage, and production of Port wine.
  • A. Suroeste
    Suroeste is a district of Santa Cruz de Tenerife known for its largely residential character and mix of urban and semi-rural areas on the island of Tenerife in Spain’s Canary Islands.
  • B. Oeste
    Oeste is a coastal subregion of central Portugal known for its Atlantic beaches, agricultural production, and historic towns.
  • C. Юго-Западная
    Юго-Западная is a Moscow Metro station on the Sokolnicheskaya Line, serving the southwestern part of the city.
  • D. Nordeste
    Nordeste is a picturesque municipality on the northeastern tip of São Miguel Island in the Azores, known for its dramatic coastal cliffs, lush landscapes, and scenic viewpoints.
  • E. The North
    "The North" is a renowned poem by Chinese poet Ai Qing that reflects his profound engagement with the landscapes, history, and struggles of northern China.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad304448190b3f6f0350a1e151d completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00355df6188190929be8584b5ac87e completed May 10, 2026, 7:35 a.m.
NEDg Description generation batch_6a0036e07d2081908db03dcc133f8421 completed May 10, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_6a00384f51d081909a5ab0630f82d173 completed May 10, 2026, 7:48 a.m.
Created at: April 10, 2026, 5:08 a.m.