Triple

T11760971
Position Surface form Disambiguated ID Type / Status
Subject Qalla Q’asa sector E279653 entity
Predicate locatedIn P40 FINISHED
Object Pisac E274546 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: Pisac | Statement: [Qalla Q’asa sector, locatedIn, Pisac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pisac
Context triple: [Qalla Q’asa sector, locatedIn, Pisac]
  • A. Pisac chosen
    Pisac is a Peruvian town in the Sacred Valley renowned for its impressive Inca archaeological site and vibrant traditional market.
  • B. Challapampa
    Challapampa is a small lakeside village on Bolivia’s Isla del Sol, known as a gateway to Inca ruins and scenic views over Lake Titicaca.
  • C. Chepica
    Chepica is a small town and commune in central Chile’s O’Higgins Region, known for its agricultural activity and role within the Colchagua Valley wine area.
  • D. Puchuncaví
    Puchuncaví is a coastal commune and town in Chile’s Valparaíso Region, known for its beaches and its proximity to the industrial area around Quintero.
  • E. Loncoche
    Loncoche is a town and commune in southern Chile’s Araucanía Region, known for its agricultural activities and proximity to forests and rivers.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09053a9b08190983e15f2da3d3889 completed April 28, 2026, 10:47 a.m.
Created at: April 8, 2026, 9:41 p.m.