Triple

T3192155
Position Surface form Disambiguated ID Type / Status
Subject Coimbra-B railway station E66846 entity
Predicate connectsRegion P845 FINISHED
Object Beira Alta E302847 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: Beira Alta | Statement: [Coimbra-B railway station, connectsRegion, Beira Alta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beira Alta
Context triple: [Coimbra-B railway station, connectsRegion, Beira Alta]
  • A. Beira Litoral
    Beira Litoral was a former central coastal province of Portugal that included the city of Coimbra and stretched between the Atlantic Ocean and the interior regions.
  • B. Bérrio
    Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
  • C. Beira
    Beira is a major port city in central Mozambique, serving as a key commercial and transport hub for the region.
  • D. Serpa
    Serpa is a historic walled town and municipality in Portugal’s Alentejo region, known for its medieval architecture, whitewashed houses, and traditional cheese production.
  • E. Linha da Beira Alta chosen
    Linha da Beira Alta is a major Portuguese railway line that serves as a key international freight and passenger corridor linking central Portugal to Spain and the rest of Europe.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e8e4b48190bc7c6443fc6da900 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24ba8a8b48190824dac45e37217cc completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.