Triple

T15846932
Position Surface form Disambiguated ID Type / Status
Subject Mourão E384237 entity
Predicate partOf P40 FINISHED
Object NUTS 2 Alentejo E38350 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: NUTS 2 Alentejo | Statement: [Mourão, partOf, NUTS 2 Alentejo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NUTS 2 Alentejo
Context triple: [Mourão, partOf, NUTS 2 Alentejo]
  • A. Alentejo chosen
    Alentejo is a large, sparsely populated region in southern Portugal known for its rolling plains, cork oak forests, vineyards, and historic whitewashed 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 Central
    Alentejo Central is a subregion in southern Portugal known for its historic towns, rolling plains, and wine production within the broader Alentejo region.
  • D. Alto Alentejo
    Alto Alentejo is a subregion in northern Alentejo, Portugal, known for its historic towns, rural landscapes, and traditional agriculture.
  • E. Beira Interior
    Beira Interior is a historical region in central Portugal known for its mountainous landscapes, fortified towns, and long-standing cultural and agricultural traditions.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14ca7c8f08190abe21cbb0c390f95 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03c8cb081908c18c7b2d143c4b4 completed May 9, 2026, 10:07 p.m.
Created at: April 10, 2026, 4:50 a.m.