Triple

T9830711
Position Surface form Disambiguated ID Type / Status
Subject City of Santa Cruz E238973 entity
Predicate hasRiver P165 FINISHED
Object San Lorenzo River E501102 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 Lorenzo River | Statement: [City of Santa Cruz, hasRiver, San Lorenzo River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Lorenzo River
Context triple: [City of Santa Cruz, hasRiver, San Lorenzo River]
  • A. San Lorenzo River chosen
    The San Lorenzo River is a coastal river in central California that flows through the city of Santa Cruz into the Monterey Bay.
  • B. Bermejo River
    The Bermejo River is a major South American waterway flowing through Bolivia and Argentina before joining the Paraguay River and ultimately contributing to the Río de la Plata basin.
  • C. Río San Lorenzo
    Río San Lorenzo is a river in northwestern Mexico that flows through arid landscapes before emptying into the Gulf of California.
  • D. San Jorge River
    The San Jorge River is a significant waterway in northern Colombia that drains the lowland wetlands between the Magdalena and Cauca rivers and supports important agricultural and fishing communities.
  • E. Matanza River
    The Matanza River is a heavily polluted waterway in the Buenos Aires metropolitan area of Argentina, flowing through densely populated and industrial zones before emptying into the Río de la Plata.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3297bd88190bf8c53a4ba00e0ae completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5561714a081909cbf1cc7d5d0ac0a completed April 19, 2026, 10:24 p.m.
Created at: March 30, 2026, 8:32 p.m.