Triple

T13089916
Position Surface form Disambiguated ID Type / Status
Subject Urubamba Province E310434 entity
Predicate capital P234 FINISHED
Object Urubamba E281312 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: Urubamba | Statement: [Urubamba Province, capital, Urubamba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urubamba
Context triple: [Urubamba Province, capital, Urubamba]
  • A. Urubamba chosen
    Urubamba is a town in Peru’s Sacred Valley of the Incas, known as a gateway to Machu Picchu and surrounding Andean archaeological sites.
  • B. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • C. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • D. Huamachuco
    Huamachuco is a town in northern Peru’s La Libertad region, known for its nearby pre-Inca archaeological sites and Andean highland setting.
  • E. Mantaro Valley
    Mantaro Valley is a fertile Andean valley in central Peru known for its agricultural production, traditional Quechua communities, and role as a major food supplier to the country.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98138a1d481908a139f2f67eb3472 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d614704481908758cf8691a941ea completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:03 p.m.