Triple

T19196092
Position Surface form Disambiguated ID Type / Status
Subject Monument to General San Martín (Salta) E469971 entity
Predicate locatedIn P40 FINISHED
Object Salta 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: Salta | Statement: [Monument to General San Martín (Salta), locatedIn, Salta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Salta
Context triple: [Monument to General San Martín (Salta), locatedIn, Salta]
  • A. Salta (city) chosen
    Salta is a historic city in northwestern Argentina known for its well-preserved colonial architecture, vibrant cultural traditions, and role as a regional commercial and tourism hub in the Lerma Valley.
  • B. Salta Province
    Salta Province is a large, landlocked region in northwestern Argentina known for its colonial architecture, Andean landscapes, and significant agricultural and wine production.
  • C. Belén
    Belén is a town in northwestern Argentina known for its traditional weaving and role as a regional center in Catamarca Province.
  • D. Belén
    Belén is a municipality located in the Rivas Department of southwestern Nicaragua, known for its rural character and agricultural activities.
  • E. Belén
    Belén is a common Spanish feminine given name, often used as a diminutive of "Belén María" and associated with the Spanish word for Bethlehem.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a5dabc81908fffad811f177b03 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.