Triple

T3875474
Position Surface form Disambiguated ID Type / Status
Subject Vila Nova de Cacela E92489 entity
Predicate partOf P40 FINISHED
Object Eastern Algarve E328802 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: Eastern Algarve | Statement: [Vila Nova de Cacela, partOf, Eastern Algarve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastern Algarve
Context triple: [Vila Nova de Cacela, partOf, Eastern Algarve]
  • A. Eastern Algarve chosen
    Eastern Algarve is the less-developed, quieter eastern stretch of Portugal’s Algarve coast, known for its traditional towns, lagoons, and unspoiled beaches near the Spanish border.
  • B. Algarve
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • C. Alentejo Litoral
    Alentejo Litoral is a coastal subregion of Portugal’s Alentejo known for its Atlantic beaches, rural landscapes, and traditional agriculture.
  • D. 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.
  • E. 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.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec706434819095e0d2b376adb548 completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5124f095881909143b624128ff569 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.