Triple

T8392521
Position Surface form Disambiguated ID Type / Status
Subject Muni Metro line M E197975 entity
Predicate connects P390 FINISHED
Object Castro District E38239 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: Castro District | Statement: [Muni Metro line M, connects, Castro District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castro District
Context triple: [Muni Metro line M, connects, Castro District]
  • A. Castro District chosen
    The Castro District is a historic San Francisco neighborhood internationally recognized as a center of LGBTQ+ culture, activism, and nightlife.
  • B. Cubanacán district
    The Cubanacán district is a western area of Havana, Cuba, known for its diplomatic residences, cultural institutions, and conference facilities.
  • C. San Miguelito District
    San Miguelito District is a densely populated urban district in central Panama that forms part of the metropolitan area of Panama City.
  • D. Providencia district
    Providencia district is an affluent, centrally located commune of Santiago, Chile, known for its residential neighborhoods, commercial areas, and cultural attractions.
  • E. San Blas-Canillejas district
    The San Blas-Canillejas district is a largely residential area in the eastern part of Madrid, Spain, known for its mix of post-war neighborhoods, green spaces, and major transport links.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810e16b081908e2c25bfb9d590ed completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf887208188190902ad8be01397371 completed April 3, 2026, 9:29 a.m.
Created at: March 30, 2026, 6:03 p.m.