Triple

T12295021
Position Surface form Disambiguated ID Type / Status
Subject Linha do Alentejo E293060 entity
Predicate cityServed P82 FINISHED
Object Beja E39302 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: Beja | Statement: [Linha do Alentejo, cityServed, Beja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beja
Context triple: [Linha do Alentejo, cityServed, Beja]
  • A. Beja
    The Beja are a traditionally pastoralist Cushitic-speaking ethnic group of northeastern Africa, primarily inhabiting the Red Sea coastal and desert regions of Sudan and neighboring countries.
  • B. Mértola
    Mértola is a historic riverside town and municipality in southeastern Portugal known for its well-preserved medieval architecture and rich Islamic and Roman heritage.
  • C. Beja District chosen
    Beja District is an administrative district in southern Portugal, known for its vast agricultural plains and the historic city of Beja as its capital.
  • D. Conceição de Tavira
    Conceição de Tavira is a civil parish in the Algarve region of southern Portugal, known for its rural landscapes and proximity to the coastal city of Tavira.
  • E. Santarém
    Santarém is a Brazilian city in the state of Pará, known for its location at the confluence of the Amazon and Tapajós rivers and its striking “meeting of the waters” phenomenon.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93ed7251c8190b94d7cd75ad49b9c completed April 10, 2026, 6:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a995c508190b7ef77e400d03f87 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:52 p.m.