Triple

T19720073
Position Surface form Disambiguated ID Type / Status
Subject Noe Peak E473583 entity
Predicate isNear P350 FINISHED
Object Castro District 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: Castro District | Statement: [Noe Peak, isNear, Castro District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castro District
Context triple: [Noe Peak, isNear, 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. Castro Pretorio district
    The Castro Pretorio district is a central neighborhood of Rome known for its proximity to major transport hubs, government buildings, and a mix of historic and modern urban architecture.
  • C. Cubanacán district
    The Cubanacán district is a western area of Havana, Cuba, known for its diplomatic residences, cultural institutions, and conference facilities.
  • D. Santa María District
    Santa María District is an administrative district located within Huaura Province in the Lima Region of Peru, known for its agricultural activity and proximity to the coastal city of Huacho.
  • E. El Carmen District
    El Carmen District is an administrative subdivision in Peru’s Chincha Province, known for its strong Afro-Peruvian cultural heritage and traditions.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64410e5548190b60e13603b6c0053 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.