Triple

T13040370
Position Surface form Disambiguated ID Type / Status
Subject Northeastern Spain E327174 entity
Predicate majorCity P316 FINISHED
Object Logroño E229353 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: Logroño | Statement: [Northeastern Spain, majorCity, Logroño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logroño
Context triple: [Northeastern Spain, majorCity, Logroño]
  • A. Logroño chosen
    Logroño is the capital city of Spain’s La Rioja region, renowned for its historic old town, vibrant tapas culture, and role as a key stop on the Camino de Santiago pilgrimage route.
  • B. Mondoñedo
    Mondoñedo is a historic town in northwestern Spain, renowned for its medieval cathedral and former status as an important ecclesiastical and administrative center in the region of Galicia.
  • C. Burgos
    Burgos is a historic city in northern Spain known for its medieval architecture and its prominent role during the Spanish Civil War.
  • D. Burgos
    Burgos is a small coastal municipality on the northern tip of Siargao Island in the Philippines, known for its quiet beaches and surf spots.
  • E. Zaragosa
    Zaragosa is a barangay (village-level administrative division) within the municipality of Badian in the province of Cebu, Philippines.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804d8e3081909584c93df099859a completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73053a1888190a234e8c119a4202a completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 8:55 p.m.