Triple

T8376574
Position Surface form Disambiguated ID Type / Status
Subject Buenos Aires Underground Line A E197590 entity
Predicate hasStation P35 FINISHED
Object San Pedrito E729743 NE 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: San Pedrito | Statement: [Buenos Aires Underground Line A, hasStation, San Pedrito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pedrito
Context triple: [Buenos Aires Underground Line A, hasStation, San Pedrito]
  • A. San Pedrito chosen
    San Pedrito is a subway station in Buenos Aires that serves as the western terminus of the city's historic Line A.
  • B. San Cristóbal de la Barranca
    San Cristóbal de la Barranca is a small municipality in the state of Jalisco, Mexico, known for its deep canyon landscapes and hot springs along the Santiago River.
  • C. San Pedro
    San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • D. San Pedro
    San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
  • E. San Pedro
    San Pedro is a popular coastal town on Ambergris Caye in Belize, known for its laid-back atmosphere and easy access to the Belize Barrier Reef.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c094908190afe9cc54ce4f4d58 completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02b4d840819090a0eaadaff9c9f9 completed April 2, 2026, 5:46 a.m.
Created at: March 30, 2026, 6:01 p.m.