Triple

T4883415
Position Surface form Disambiguated ID Type / Status
Subject Rossio railway station E109382 entity
Predicate near P350 FINISHED
Object Baixa Pombalina E88119 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: Baixa Pombalina | Statement: [Rossio railway station, near, Baixa Pombalina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baixa Pombalina
Context triple: [Rossio railway station, near, Baixa Pombalina]
  • A. Mafra
    Mafra is a Portuguese town best known for its monumental baroque National Palace and basilica, extensively built using local lioz limestone.
  • B. Baixa Pombalina area
    The Baixa Pombalina area is Lisbon’s historic downtown district, rebuilt in a distinctive grid plan with neoclassical architecture after the 1755 earthquake and known today as a major commercial and tourist hub.
  • C. Vila de Rei
    Vila de Rei is a small inland municipality in central Portugal known for its rural landscapes and its location near the country’s geodesic center.
  • D. Nova Sintra
    Nova Sintra is the main town and administrative center of the island of Brava in Cape Verde, known for its colonial architecture and mountainous setting.
  • E. Baixa Pombalina of Lisbon chosen
    The Baixa Pombalina of Lisbon is the post-1755 earthquake downtown district renowned for its pioneering, grid-based neoclassical urban design and early anti-seismic construction.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ddfff0c81908fb148a6f6508334 completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9235e7b8819084fd9eb7c794e0e3 completed March 21, 2026, 12:42 p.m.
Created at: March 20, 2026, 1:27 p.m.