Triple

T5024667
Position Surface form Disambiguated ID Type / Status
Subject Route 28E E112944 entity
Predicate passesThrough P225 FINISHED
Object Baixa E20143 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 | Statement: [Route 28E, passesThrough, Baixa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baixa
Context triple: [Route 28E, passesThrough, Baixa]
  • A. Baixa chosen
    Baixa is Lisbon’s historic downtown district, known for its grid-planned streets, grand plazas, and Pombaline architecture rebuilt after the 1755 earthquake.
  • B. Bayside
    Bayside is a primarily residential neighborhood in the northeastern part of Queens, New York City, known for its suburban feel, good schools, and waterfront parks.
  • C. Lower City
    Lower City is the main residential and administrative quarter of the ancient Hittite capital Hattusa, containing key temples, houses, and public buildings.
  • D. Lower City
    Lower City is the historic waterfront district of Salvador, Bahia, known for its colonial architecture, bustling port, and role as a commercial and cultural hub.
  • E. La Barra
    La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736852e88190b69d6561ca7604c3 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9286bb28819095ca0ec858061419 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.