Triple

T13046191
Position Surface form Disambiguated ID Type / Status
Subject Sanctuary of Our Lady of Luján E327329 entity
Predicate locatedIn P40 FINISHED
Object city of Luján E1040017 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: city of Luján | Statement: [Sanctuary of Our Lady of Luján, locatedIn, city of Luján]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Luján
Context triple: [Sanctuary of Our Lady of Luján, locatedIn, city of Luján]
  • A. Morón city
    Morón city is an urban center in central Cuba known historically for its sugar industry and as a gateway to nearby northern cays and beach resorts.
  • B. Luján, Buenos Aires chosen
    Luján, Buenos Aires is an Argentine city renowned as a major Catholic pilgrimage center, home to the Basilica of Our Lady of Luján.
  • C. Morón
    Morón is a city in the western part of the Greater Buenos Aires metropolitan area in Argentina, known as an important residential and commercial hub.
  • D. 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.
  • E. 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.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9805125e481908ed56f708de98a9e completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7cfe24819096e8f4cd496a6fd7 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 8:56 p.m.