Triple

T13658740
Position Surface form Disambiguated ID Type / Status
Subject Maras District E326927 entity
Predicate contains P35 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: [Maras District, contains, Maras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maras
Context triple: [Maras District, contains, 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794395618819094a7f0ffcf5d3fb6 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:52 p.m.