Triple

T13967654
Position Surface form Disambiguated ID Type / Status
Subject Huancavelica–Huancayo railway E335967 entity
Predicate terminus P388 FINISHED
Object Huancayo E305433 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: Huancayo | Statement: [Huancavelica–Huancayo railway, terminus, Huancayo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huancayo
Context triple: [Huancavelica–Huancayo railway, terminus, Huancayo]
  • A. Huancayo chosen
    Huancayo is a major city in the central highlands of Peru, known as a commercial and cultural hub of the Mantaro Valley.
  • B. 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.
  • C. 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.
  • D. Chanchamayo city
    Chanchamayo city is an urban center in central Peru known as a gateway to the country’s high jungle region, noted for its coffee production, lush landscapes, and diverse indigenous cultures.
  • E. Huancayo District
    Huancayo District is an urban administrative district in central Peru that encompasses the city of Huancayo, a major commercial and cultural center in the Andean highlands.
  • 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_69fbc323d8ac81909b4eaf44f8fd462c completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:18 p.m.