Triple

T5578296
Position Surface form Disambiguated ID Type / Status
Subject Neo-Inca State E146375 entity
Predicate capital P234 FINISHED
Object Vilcabamba E147954 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: Vilcabamba | Statement: [Neo-Inca State, capital, Vilcabamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilcabamba
Context triple: [Neo-Inca State, capital, Vilcabamba]
  • A. Vilcabamba chosen
    Vilcabamba was the remote Andean stronghold that served as the last refuge of the Inca resistance against Spanish conquest.
  • B. Chanchamayo
    Chanchamayo is a city in central Peru known for its lush cloud forests, coffee and citrus production, and role as a gateway to the Amazonian high jungle.
  • C. Santiago de Chuco
    Santiago de Chuco is a town in northern Peru best known as the birthplace of influential poet César Vallejo and for its Andean cultural and historical significance.
  • D. Collasuyu
    Collasuyu was the southeastern quarter of the Inca Empire, encompassing the highland and lowland regions around Lake Titicaca and extending into parts of present-day Bolivia, Chile, and Argentina.
  • E. Chinchaysuyu
    Chinchaysuyu was the northwestern quarter of the Inca Empire, encompassing coastal and highland regions that are now parts of Peru, Ecuador, and Colombia.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206ae4808190971d89243db94475 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d26856c8190bdda69a049df1c10 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:37 p.m.