Triple

T16397157
Position Surface form Disambiguated ID Type / Status
Subject Castillejos E398211 entity
Predicate hasNearbyUrbanCenter P36605 FINISHED
Object San Narciso E398206 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 Narciso | Statement: [Castillejos, hasNearbyUrbanCenter, San Narciso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Narciso
Context triple: [Castillejos, hasNearbyUrbanCenter, San Narciso]
  • A. San Narciso
    San Narciso is a fictional Southern California town in Thomas Pynchon’s novel "The Crying of Lot 49," emblematic of postwar suburban sprawl and hidden conspiratorial networks.
  • B. San Narciso chosen
    San Narciso is a coastal municipality in the province of Zambales in the Philippines, known for its surfing beaches and laid-back rural atmosphere.
  • C. Narcís
    Narcís is a Catalan given name most famously borne by the 19th-century engineer and submarine inventor Narcís Monturiol.
  • D. Nachinola
    Nachinola is a small village located in the North Goa district of the Indian state of Goa, known for its rural setting and proximity to the region’s coastal and cultural attractions.
  • E. Balvín
    Balvín is a Spanish-language surname most notably associated with Colombian reggaeton singer J Balvin (José Álvaro Osorio Balvín).
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cb3c708190b64341cb1410ed81 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357838a88190be88c51f454be6eb completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:09 a.m.