Triple

T20202842
Position Surface form Disambiguated ID Type / Status
Subject Rua Nova do Carvalho E493267 entity
Predicate partOf P40 FINISHED
Object Lisbon city center NE NERFINISHED

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: Lisbon city center | Statement: [Rua Nova do Carvalho, partOf, Lisbon city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisbon city center
Context triple: [Rua Nova do Carvalho, partOf, Lisbon city center]
  • A. City of Lisbon
    The City of Lisbon is the municipal government authority responsible for administering and providing local services to the community of Lisbon, Iowa.
  • B. Lisbon urban core chosen
    Lisbon urban core is the central, densely developed area of Lisbon that concentrates the city’s main residential neighborhoods, business districts, and cultural and historical landmarks.
  • C. Lux Lisbon
    Lux Lisbon is a rebellious and enigmatic teenage girl whose tragic story and inner turmoil are central to the haunting atmosphere of *The Virgin Suicides*.
  • D. Lisbon
    Lisbon is the coastal capital city of Portugal, renowned for its historic architecture, hilly landscape, and role as a major cultural and economic center in Europe.
  • E. Lisbon
    Lisbon is a small village in Kendall County, Illinois, United States, known for its rural character and tight-knit community.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8ec73c8190b630599c5ceb22ac completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.