Triple

T13967653
Position Surface form Disambiguated ID Type / Status
Subject Huancavelica–Huancayo railway E335967 entity
Predicate terminus P388 FINISHED
Object Huancavelica E66932 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: Huancavelica | Statement: [Huancavelica–Huancayo railway, terminus, Huancavelica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huancavelica
Context triple: [Huancavelica–Huancayo railway, terminus, Huancavelica]
  • A. Huancavelica chosen
    Huancavelica is a historic Andean city in central Peru, renowned as one of the colonial era’s most important mercury mining centers.
  • B. Chivay
    Chivay is a small Andean town in southern Peru that serves as the main gateway and service hub for visitors to the Colca Canyon.
  • C. Santiago de Chuco
    Santiago de Chuco is a town in northern Peru best known as the birthplace of influential poet César Vallejo and for its Andean cultural and historical significance.
  • D. Vilcashuamán
    Vilcashuamán is a historic Andean town in Peru known for its well-preserved Inca archaeological complex, including temples, terraces, and ceremonial structures.
  • E. Abancay
    Abancay is a city in the Andean highlands of Peru, serving as the capital of the Apurímac Region and known for its mild climate and surrounding mountainous landscapes.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8c9e988190a84c9ca8a78b515f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdef3f31c8190a2fc3eed316756d6 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:18 p.m.