Triple

T17777188
Position Surface form Disambiguated ID Type / Status
Subject Punilla E443801 entity
Predicate hasMunicipality P847 FINISHED
Object San Nicolás 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: San Nicolás | Statement: [Punilla, hasMunicipality, San Nicolás]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Nicolás
Context triple: [Punilla, hasMunicipality, San Nicolás]
  • A. San Nicolás
    San Nicolás is a central Buenos Aires neighborhood known as a major commercial and cultural hub that includes landmarks like the Obelisco and the city’s main theater district.
  • B. San Nicolás chosen
    San Nicolás is a small settlement located within the Chilecito Department in La Rioja Province, Argentina.
  • C. San Nicolás
    San Nicolás is a commonly used shortened name for San Nicolás de los Garza, a major suburban city in the Monterrey metropolitan area of Nuevo León, Mexico.
  • D. San Nicolás
    San Nicolás was a Spanish naval ship, best known as a ship of the line that fought in late 18th-century battles such as the Battle of Cape St. Vincent.
  • E. San Nicolás de los Arroyos
    San Nicolás de los Arroyos is an industrial and port city in the Buenos Aires Province of Argentina, known for its manufacturing sector and strategic location on the Paraná River.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871e06a481909cf6d59e49dc21c5 completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.