Triple

T21175249
Position Surface form Disambiguated ID Type / Status
Subject Lima Metro Line 1 E521794 entity
Predicate terminus P388 FINISHED
Object Bayóvar
Bayóvar is a major metro station in Lima, Peru, serving as the northeastern endpoint of the city’s Line 1 rapid transit corridor.
 E1470682 NE FINISHED

How this triple was built (4 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: Bayóvar | Statement: [Lima Metro Line 1, terminus, Bayóvar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bayóvar
Context triple: [Lima Metro Line 1, terminus, Bayóvar]
  • A. Baranoa
    Baranoa is a municipality in northern Colombia known for its cultural traditions and location within the Caribbean region.
  • B. Gubarra
    Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
  • C. Pozondón
    Pozondón is a small rural municipality in the province of Teruel, Aragon, Spain, known for its highland landscapes and traditional architecture.
  • D. Valasay
    Valasay is a small coastal settlement on the island of Great Bernera in Scotland’s Outer Hebrides.
  • E. Bavay
    Bavay is a commune in northern France known for its extensive Roman archaeological remains, including the ancient city of Bagacum, once a major administrative center in Gallia Belgica.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bayóvar
Triple: [Lima Metro Line 1, terminus, Bayóvar]
Generated description
Bayóvar is a major metro station in Lima, Peru, serving as the northeastern endpoint of the city’s Line 1 rapid transit corridor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bayóvar
Target entity description: Bayóvar is a major metro station in Lima, Peru, serving as the northeastern endpoint of the city’s Line 1 rapid transit corridor.
  • A. Baranoa
    Baranoa is a municipality in northern Colombia known for its cultural traditions and location within the Caribbean region.
  • B. Gubarra
    Gubarra is a relatively obscure figure in ancient Near Eastern mythology, known primarily as the consort of the god Amurru.
  • C. Pozondón
    Pozondón is a small rural municipality in the province of Teruel, Aragon, Spain, known for its highland landscapes and traditional architecture.
  • D. Valasay
    Valasay is a small coastal settlement on the island of Great Bernera in Scotland’s Outer Hebrides.
  • E. Bavay
    Bavay is a commune in northern France known for its extensive Roman archaeological remains, including the ancient city of Bagacum, once a major administrative center in Gallia Belgica.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7271597288190b04baff9ca8d866c completed April 21, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09757772b88190b7eab700ab116596 completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09775849588190a7d28b0bb6912a01 completed May 17, 2026, 8:07 a.m.
NED2 Entity disambiguation (via description) batch_6a097878a6248190a3573b84aaa29827 completed May 17, 2026, 8:12 a.m.
Created at: April 16, 2026, 3 p.m.