Triple

T17723089
Position Surface form Disambiguated ID Type / Status
Subject National University of Asunción E442391 entity
Predicate locatedIn P40 FINISHED
Object Gran Asunción 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: Gran Asunción | Statement: [National University of Asunción, locatedIn, Gran Asunción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gran Asunción
Context triple: [National University of Asunción, locatedIn, Gran Asunción]
  • A. Gran Asunción chosen
    Gran Asunción is the large metropolitan area surrounding Paraguay’s capital, Asunción, encompassing the city and its surrounding urban municipalities.
  • B. Chacao
    Chacao is a coastal town in southern Chile located on the northern tip of Chiloé Island, known for its strategic position by the Chacao Channel.
  • C. La Asunción
    La Asunción is a historic colonial-era city on Venezuela’s Margarita Island, known for its religious landmarks and role as an administrative and cultural center.
  • D. Tacuarembó
    Tacuarembó is a city in northern Uruguay that serves as the capital of Tacuarembó Department and a regional center for culture, education, and services.
  • E. Capiatá
    Capiatá is a city in Paraguay known as part of the Greater Asunción metropolitan area and an important urban and commercial center in the Central Department.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47487b4988190b14237a4e6376e9a completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:07 a.m.