Triple

T11828254
Position Surface form Disambiguated ID Type / Status
Subject Urubamba E281312 entity
Predicate locatedNear P294 FINISHED
Object Maras E64884 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: Maras | Statement: [Urubamba, locatedNear, Maras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maras
Context triple: [Urubamba, locatedNear, Maras]
  • A. Maras chosen
    Maras is a small Andean town in Peru’s Sacred Valley, known for its ancient terraced salt pans that have been harvested since Inca times.
  • B. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • C. Morosaglia
    Morosaglia is a small village in the Haute-Corse department of France, known as the birthplace of Corsican patriot Pasquale Paoli and a historic center of Corsican nationalism.
  • D. Jangamo
    Jangamo is a coastal town and district in southern Mozambique known for its beaches and proximity to popular diving and fishing areas along the Indian Ocean.
  • E. Melaque
    Melaque is a coastal town in Jalisco, Mexico, known for its relaxed beach atmosphere, tourism, and role as a popular vacation spot on the Pacific coast.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.