Triple

T12006946
Position Surface form Disambiguated ID Type / Status
Subject LLE E285803 entity
Predicate associatedWithRegion P285 FINISHED
Object Algarve 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 | Statement: [LLE, associatedWithRegion, Algarve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Algarve
Context triple: [LLE, associatedWithRegion, Algarve]
  • A. Algarve chosen
    Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
  • B. Portuguese Riviera
    The Portuguese Riviera is a glamorous coastal region west of Lisbon known for its historic seaside resorts, casinos, beaches, and affluent lifestyle.
  • C. 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.
  • D. Centro-Sul de Portugal
    Centro-Sul de Portugal is a broad geographic region in the southern-central part of Portugal that encompasses areas such as Alto Alentejo and is characterized by its Mediterranean landscapes, historic towns, and agricultural economy.
  • E. southwestern Portugal
    Southwestern Portugal is a coastal region of Portugal known for its rugged Atlantic shoreline, scenic beaches, and relatively unspoiled natural landscapes.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c5cfc08190821e4b2940c51416 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d32b0608190b261567fbd4f415e completed May 1, 2026, 12:31 p.m.
Created at: April 8, 2026, 9:46 p.m.