Triple

T411754
Position Surface form Disambiguated ID Type / Status
Subject La Candelaria E9503 entity
Predicate contains P35 FINISHED
Object Palacio Liévano E52840 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: Palacio Liévano | Statement: [La Candelaria, contains, Palacio Liévano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palacio Liévano
Context triple: [La Candelaria, contains, Palacio Liévano]
  • A. La Moneda Palace
    La Moneda Palace is the neoclassical presidential palace and seat of government of Chile, located in central Santiago.
  • B. Palacio Nacional
    Palacio Nacional is the historic seat of Mexico’s federal executive power, located on Mexico City’s main square and known for its colonial architecture and Diego Rivera murals.
  • C. Casa Rosada
    Casa Rosada is the iconic pink presidential palace and seat of the executive branch of government in Argentina, located in central Buenos Aires.
  • D. Carondelet Palace
    Carondelet Palace is the historic presidential palace and seat of government located in the center of Quito, Ecuador.
  • E. Edificio Camilo Torres chosen
    Edificio Camilo Torres is a prominent academic building on the Bogotá campus of the National University of Colombia, known for housing social sciences and humanities faculties and serving as a key landmark of the institution.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecdafa2481908111accc918ff2e8 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f6278808190be4432cf305f525c completed March 1, 2026, 12:21 p.m.
Created at: Feb. 28, 2026, 1:09 p.m.