Triple

T3908685
Position Surface form Disambiguated ID Type / Status
Subject Covas do Douro E87268 entity
Predicate region P40 FINISHED
Object Norte E162577 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: Norte | Statement: [Covas do Douro, region, Norte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norte
Context triple: [Covas do Douro, 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. 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.
  • C. El Norte (Mexico)
    El Norte (Mexico) is the northern region of the country, known for its arid landscapes, strong ranching and mining traditions, and significant industrial and border-city development.
  • D. La Norte
    La Norte is a passionate supporters’ group known for creating a lively, vocal atmosphere at D.C. United soccer matches.
  • E. Norte Region chosen
    Norte Region is the northernmost administrative region of Portugal, known for its historic cities like Porto and Braga, rich cultural heritage, and strong industrial and academic presence.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed13bb14819096842c6c82342524 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cb1b194819093b88d3f37ae51d9 completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.