Triple

T8631361
Position Surface form Disambiguated ID Type / Status
Subject Rogil E204409 entity
Predicate partOf P40 FINISHED
Object Algarve region E6079 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: Algarve region | Statement: [Rogil, partOf, Algarve region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algarve region
Context triple: [Rogil, partOf, Algarve region]
  • A. Algarve chosen
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • B. Centro Region of Portugal
    The Centro Region of Portugal is a large and diverse area in central Portugal known for its historic cities, coastal resorts, mountainous landscapes, and rich cultural heritage.
  • C. Alentejo–Lisbon transition area
    The Alentejo–Lisbon transition area is a geographic and socio-economic zone in Portugal that forms a transitional belt between the rural Alentejo region and the more urbanized Lisbon metropolitan area.
  • D. Alentejo
    Alentejo is a large, sparsely populated region in southern Portugal known for its rolling plains, cork oak forests, vineyards, and historic whitewashed towns.
  • E. southern Portugal
    Southern Portugal is the warm, largely rural and coastal region of Portugal that includes the Algarve and Alentejo, known for its beaches, historic towns, and Mediterranean climate.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc47417e9c819099739ae901449308 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb759f6c819085939e38e0281361 completed April 3, 2026, 3:23 p.m.
Created at: March 30, 2026, 6:27 p.m.