Triple

T19381309
Position Surface form Disambiguated ID Type / Status
Subject Peruvian Andes E484815 entity
Predicate archaeologicalSite P1098 FINISHED
Object Pisac 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: Pisac | Statement: [Peruvian Andes, archaeologicalSite, Pisac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pisac
Context triple: [Peruvian Andes, archaeologicalSite, 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. Paucartambo
    Paucartambo is a historic Andean town in southeastern Peru renowned for its colonial architecture and vibrant Virgen del Carmen festival.
  • E. Pucusana
    Pucusana is a coastal district and traditional fishing town in the Lima region of Peru, known for its beaches, seafood, and small natural harbor.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a6075a88190aed7afa3b8fd3021 completed April 20, 2026, 12:21 p.m.
Created at: April 10, 2026, 1:35 p.m.