Triple

T8263504
Position Surface form Disambiguated ID Type / Status
Subject Argentine Armed Forces E193246 entity
Predicate hasFacility P105 FINISHED
Object Campo de Mayo E231502 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: Campo de Mayo | Statement: [Argentine Armed Forces, hasFacility, Campo de Mayo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campo de Mayo
Context triple: [Argentine Armed Forces, hasFacility, Campo de Mayo]
  • A. Campo de Mayo chosen
    Campo de Mayo is one of Argentina’s largest and most historically significant military bases, located on the outskirts of Buenos Aires.
  • B. Artigas Base
    Artigas Base is a Uruguayan scientific research station located on King George Island in the South Shetland Islands near the Antarctic Peninsula.
  • C. Parque de la Memoria
    Parque de la Memoria is a public memorial park in Buenos Aires dedicated to commemorating the victims of state terrorism during Argentina’s last military dictatorship.
  • D. Resistencia
    Resistencia is the capital city of Argentina’s Chaco Province, located on the Paraná River opposite the city of Corrientes.
  • E. ARA Nueve de Julio
    ARA Nueve de Julio was an Argentine Navy light cruiser, originally commissioned as the U.S. Navy’s USS Boise, that served during the mid-20th century.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb793991b481908ad7221405e88ab7 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3573cee48190b72bdcdc433db93e completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:49 p.m.