Triple

T8457694
Position Surface form Disambiguated ID Type / Status
Subject Viseu E199960 entity
Predicate hasLandmark P105 FINISHED
Object Rossio square E104041 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: Rossio square | Statement: [Viseu, hasLandmark, Rossio square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rossio square
Context triple: [Viseu, hasLandmark, Rossio square]
  • A. Rossio Square chosen
    Rossio Square is a historic and bustling public square in central Lisbon, Portugal, known for its wave-patterned cobblestone pavement, fountains, and role as a major social and transport hub.
  • B. São Bento Square
    São Bento Square is a public square in Lisbon, Portugal, situated in front of the national parliament building and serving as a notable civic and political gathering space.
  • C. Santiago Square
    Santiago Square is a historic public square in the Portuguese city of Guimarães, known for its medieval atmosphere, traditional architecture, and lively cafés.
  • D. Campos Square
    Campos Square is a historic public square and bustling commercial hub located on Lagos Island in Lagos, Nigeria.
  • E. Saint Fatima Square
    Saint Fatima Square is a prominent public square and local landmark in Cairo’s Heliopolis district, known for its bustling commercial activity and surrounding cafes, shops, and restaurants.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49064f881909391d565b97e9886 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dea01c481909496ebfca4e9916e completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.