Triple

T16982511
Position Surface form Disambiguated ID Type / Status
Subject Cataratas de Huancaya E411979 entity
Predicate accessFromCity P125473 FINISHED
Object Lima E2605 NE FINISHED

How this triple was built (3 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: Lima | Statement: [Cataratas de Huancaya, accessFromCity, Lima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lima
Context triple: [Cataratas de Huancaya, accessFromCity, Lima]
  • A. Lima
    Lima is a station on Buenos Aires’ historic Underground Line A, serving passengers in the city’s central area.
  • B. Lima chosen
    Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
  • C. Lima
    Lima is a subregion of Portugal’s Vinho Verde wine area, known for producing fresh, aromatic white wines from local grape varieties.
  • D. Sucre
    Sucre is a coastal state in northeastern Venezuela known for its Caribbean shoreline, fishing communities, and colonial-era towns.
  • E. Sucre
    Sucre is a neighborhood or locality within the Chapinero district of Bogotá, Colombia, known primarily as a residential and commercial urban area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accessFromCity
Context triple: [Cataratas de Huancaya, accessFromCity, Lima]
  • A. accessTown
    Indicates that an entity has the ability or permission to enter or make use of a particular town.
  • B. passesCity
    Indicates that a route, path, or journey goes through or traverses a particular city as part of its course.
  • C. accessToPrimarySettlement
    Indicates that an entity has the ability or right to reach, use, or benefit from a designated primary settlement.
  • D. cityAccess
    Indicates that an entity has permission or the ability to enter, use, or reach a particular city.
  • E. enteredCity
    Indicates that an entity has moved into or arrived within the boundaries of a specific city.
  • F. None of above. chosen

Provenance (5 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18830ac8190a20c89a87379ae94 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ece8730819084f4bbbd7579430c completed May 11, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69e35d4dff4881909b384e30f2d36bff completed April 18, 2026, 10:30 a.m.
PDg Predicate description generation batch_69e3753f93c88190808fec5692f66699 completed April 18, 2026, 12:12 p.m.
Created at: April 10, 2026, 5:32 a.m.