Triple

T11331018
Position Surface form Disambiguated ID Type / Status
Subject Alausí Nariz del Diablo railway E268342 entity
Predicate engineeringSolution P34486 FINISHED
Object zigzag switchbacks LITERAL 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: zigzag switchbacks | Statement: [Alausí Nariz del Diablo railway, engineeringSolution, zigzag switchbacks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: engineeringSolution
Context triple: [Alausí Nariz del Diablo railway, engineeringSolution, zigzag switchbacks]
  • A. solutionType
    Indicates the specific category or kind of solution associated with an entity or problem.
  • B. engineeringFeature chosen
    Indicates that one entity serves as an engineering-related feature, component, or characteristic of another entity within a technical or designed system.
  • C. engineeringGoal
    Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
  • D. solutionProperty
    Indicates that a solution possesses a specific characteristic, attribute, or quality relevant to its behavior, composition, or performance.
  • E. providesSolutionFor
    Indicates that one entity offers or supplies a remedy, answer, or resolution to a problem, need, or issue associated with another entity.
  • F. None of above.

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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9fd38308190a5458be1bfcc89ea completed April 9, 2026, 6:03 p.m.
PD Predicate disambiguation batch_69d787afe5a48190b8af1a3e19529641 completed April 9, 2026, 11:04 a.m.
Created at: April 8, 2026, 9:32 p.m.