Triple

T30205361
Position Surface form Disambiguated ID Type / Status
Subject Buenos Aires street network E767894 entity
Predicate evolvedDuring P138428 FINISHED
Object 19th century expansion of Buenos Aires 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: 19th century expansion of Buenos Aires | Statement: [Buenos Aires street network, evolvedDuring, 19th century expansion of Buenos Aires]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: evolvedDuring
Context triple: [Buenos Aires street network, evolvedDuring, 19th century expansion of Buenos Aires]
  • A. evolvedOver chosen
    Indicates that one entity has changed or developed into another entity across a span of time.
  • B. evolvedSince
    Indicates that one entity has undergone evolutionary change starting from, or after, a reference point defined by another entity or time.
  • C. evolvedWith
    Indicates that two or more entities have undergone evolutionary change in mutual influence or parallel over time.
  • D. evolvedUnder
    Indicates that one entity developed or changed over time while being influenced or shaped by specific conditions, factors, or an environment represented by the other entity.
  • E. evolvesIn
    Indicates that an entity undergoes a process of change or development within a specified environment, context, or medium.
  • 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_69f2247eb0848190b4032f302d39c0d9 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67fc855008190ba33386a8e990bc9 completed May 2, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69f6760216108190bbb708d53a6c2c25 completed May 2, 2026, 10:09 p.m.
Created at: April 29, 2026, 7:31 p.m.