Triple

T20043680
Position Surface form Disambiguated ID Type / Status
Subject Rio Del Mar Beach E497495 entity
Predicate hasNearbyCity P350 FINISHED
Object Santa Cruz, California 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: Santa Cruz, California | Statement: [Rio Del Mar Beach, hasNearbyCity, Santa Cruz, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Cruz, California
Context triple: [Rio Del Mar Beach, hasNearbyCity, Santa Cruz, California]
  • A. Santa Cruz, California chosen
    Santa Cruz, California is a coastal city in Northern California known for its surf culture, beach boardwalk, and progressive university community.
  • B. Santa Cruz
    Santa Cruz is a notable wine-producing city in central Chile’s Colchagua Valley, recognized for its vineyards, tourism, and colonial charm.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662ed59bc8190a9ff25493e500ebb completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:37 p.m.