Triple

T28468019
Position Surface form Disambiguated ID Type / Status
Subject Lima station E720351 entity
Predicate originalSectionBetween P134795 FINISHED
Object Plaza de Mayo – Plaza Miserere
Plaza de Mayo – Plaza Miserere is a central section of Buenos Aires’ historic subway Line A, linking the city’s main square with the Once railway hub.
 E1823089 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: Plaza de Mayo – Plaza Miserere | Statement: [Lima station, originalSectionBetween, Plaza de Mayo – Plaza Miserere]
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: Plaza de Mayo – Plaza Miserere
Triple: [Lima station, originalSectionBetween, Plaza de Mayo – Plaza Miserere]
Generated description
Plaza de Mayo – Plaza Miserere is a central section of Buenos Aires’ historic subway Line A, linking the city’s main square with the Once railway hub.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originalSectionBetween
Context triple: [Lima station, originalSectionBetween, Plaza de Mayo – Plaza Miserere]
  • A. openedSectionBetween
    Indicates that one entity has created or established an open section, gap, or interval between itself and another entity.
  • B. isSectionBetween chosen
    Indicates that one section lies between two other specified sections within an ordered structure or sequence.
  • C. linedSections
    Indicates that one section is arranged or positioned in alignment with another section.
  • D. firstSectionOpenedBetween
    Indicates that the first section was opened at some point within a specified time interval or between two defined events.
  • E. usesSectionOf
    Indicates that one entity makes use of a specific section or part of another entity.
  • F. None of above.

Provenance (6 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_69f01a58a67c819097936d9e8da8d6e6 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69fed6da0390819096b88ef4714b144e completed May 9, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1cac4180e481909758fe797e071fa7 completed May 31, 2026, 9:46 p.m.
NEDg Description generation batch_6a1cad1f66808190a06ccb3173820494 completed May 31, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a1cae27c61081908e2d3eeae96fb157 completed May 31, 2026, 9:54 p.m.
PD Predicate disambiguation batch_69fed53517d081909966f31707625f1a completed May 9, 2026, 6:33 a.m.
Created at: April 28, 2026, 2:46 a.m.