Triple

T21249665
Position Surface form Disambiguated ID Type / Status
Subject Gamarra station E523707 entity
Predicate districtServed P82 FINISHED
Object La Victoria — NE NERFINISHED

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: La Victoria | Statement: [Gamarra station, districtServed, La Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Victoria
Context triple: [Gamarra station, districtServed, La Victoria]
  • A. La Victoria chosen
    La Victoria is a densely populated commercial and residential district in central Lima, Peru, known for its bustling markets and textile trade.
  • B. La Victoria
    La Victoria is a Venezuelan city in Aragua state, historically notable for its role in the country’s independence struggles.
  • C. La Vittoria
    La Vittoria is a kinetic sculpture by Swiss artist Jean Tinguely, exemplifying his playful, mechanical style of moving art.
  • D. Count of Revillagigedo
    The Count of Revillagigedo was a Spanish noble title most prominently associated with viceroys of New Spain who were noted for administrative reforms and urban improvements in Mexico City during the late 18th century.
  • E. Tianguistenco
    Tianguistenco is a municipality in the State of Mexico known for its industrial activity and proximity to Toluca in central Mexico.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359c7a648190b4345336ac3be024 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:56 p.m.