Triple

T20429945
Position Surface form Disambiguated ID Type / Status
Subject San Lorenzo River E501102 entity
Predicate managedBy P86 FINISHED
Object City of Santa Cruz 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: City of Santa Cruz | Statement: [San Lorenzo River, managedBy, City of Santa Cruz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Santa Cruz
Context triple: [San Lorenzo River, managedBy, City of Santa Cruz]
  • A. City of Santa Cruz chosen
    The City of Santa Cruz is a coastal California city known for its beaches, historic boardwalk amusement park, and vibrant surf and university culture.
  • B. City of Santa Rosa
    The City of Santa Rosa is a municipal government in Sonoma County, California, responsible for providing local services, administration, and public facilities to the residents of Santa Rosa.
  • C. Santa Cruz
    Santa Cruz is a coastal municipality in the Philippine island province of Marinduque known for its fishing communities and rural island-barangays.
  • D. Santa Cruz
    Santa Cruz is a Christian religious dedication to the Holy Cross, venerated as the patron of the Spanish municipality of Abanilla.
  • E. Santa Cruz
    Santa Cruz is a coastal municipality in the province of Occidental Mindoro in the Philippines, known for its agricultural communities and access to marine resources.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67bac39288190b294b291301ac843 completed April 20, 2026, 7:17 p.m.
Created at: April 16, 2026, 11:31 a.m.