Triple

T3965985
Position Surface form Disambiguated ID Type / Status
Subject Plaza San Martín E92217 entity
Predicate borderedBy P224 FINISHED
Object Cine Metro
Cine Metro is a historic cinema located on Lima’s Plaza San Martín, known for its classic architecture and role in the city’s cultural life.
E402765 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: Cine Metro | Statement: [Plaza San Martín, borderedBy, Cine Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cine Metro
Context triple: [Plaza San Martín, borderedBy, Cine Metro]
  • A. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • B. METRO
    METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
  • C. MG Metro
    The MG Metro is a performance-oriented small hatchback produced by MG in the 1980s as a sportier, tuned version of the Austin/Rover Metro.
  • D. Muni
    Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
  • E. New Metropolis
    New Metropolis was the original name of Amsterdam’s futuristic, hands-on science and technology center now known as the NEMO Science Museum.
  • 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: Cine Metro
Triple: [Plaza San Martín, borderedBy, Cine Metro]
Generated description
Cine Metro is a historic cinema located on Lima’s Plaza San Martín, known for its classic architecture and role in the city’s cultural life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cine Metro
Target entity description: Cine Metro is a historic cinema located on Lima’s Plaza San Martín, known for its classic architecture and role in the city’s cultural life.
  • A. Metros
    Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
  • B. METRO
    METRO is the public-facing brand name used by Metro Transit for its network of buses, trains, and other mass transportation services.
  • C. MG Metro
    The MG Metro is a performance-oriented small hatchback produced by MG in the 1980s as a sportier, tuned version of the Austin/Rover Metro.
  • D. Muni
    Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
  • E. New Metropolis
    New Metropolis was the original name of Amsterdam’s futuristic, hands-on science and technology center now known as the NEMO Science Museum.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef97520588190922e56201fc3ca52 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533be4a688190a7d011ae2858e6ed completed March 14, 2026, 10:09 a.m.
NEDg Description generation batch_69b537cc86e88190bae10e740d8c3ec7 completed March 14, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69b538595d2481908812ab03cdb94659 completed March 14, 2026, 10:28 a.m.
Created at: March 9, 2026, 3:32 p.m.