Triple

T1746694
Position Surface form Disambiguated ID Type / Status
Subject Alentejo E38350 entity
Predicate containsCity P294 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: [Alentejo, containsCity, Beja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beja
Context triple: [Alentejo, containsCity, 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. 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.
  • C. Santarém
    Santarém is a historic Portuguese city in the Ribatejo region, known for its Gothic architecture and strategic position overlooking the Tagus River.
  • D. 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.
  • E. Silves
    Silves is a historic town in southern Portugal known for its well-preserved Moorish castle and former status as the medieval capital of the Algarve region.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63eabdf48190878ecde3d1b1faf3 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf39b08881908d798b3eae51dbae completed March 8, 2026, 8:42 p.m.
Created at: March 4, 2026, 7:31 p.m.