Triple

T21937028
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Vilcabamba E541713 entity
Predicate hasArchaeologicalSite P1098 FINISHED
Object Espíritu Pampa 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: Espíritu Pampa | Statement: [Kingdom of Vilcabamba, hasArchaeologicalSite, Espíritu Pampa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Espíritu Pampa
Context triple: [Kingdom of Vilcabamba, hasArchaeologicalSite, Espíritu Pampa]
  • A. Espíritu Pampa chosen
    Espíritu Pampa is a remote Inca archaeological site in Peru, often associated with the last stronghold of the Inca resistance against Spanish conquest.
  • B. Pampa Grande
    Pampa Grande is a large archaeological site in northern Peru known as one of the last and most important urban and ceremonial centers of the Moche civilization.
  • C. El Chañar
    El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
  • D. Pampa
    Pampa was a pioneering 10th-century Kannada poet, celebrated as one of the “three gems” of classical Kannada literature and best known for his epic works like the Adipurana and Vikramarjuna Vijaya.
  • E. Pampa
    Pampa is a jet trainer aircraft used by the Argentine Air Force, known for its role in pilot training and light attack missions.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1241c909c81908644eb73baa9def1 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:54 p.m.