Triple

T18706744
Position Surface form Disambiguated ID Type / Status
Subject Moss Landing, California E457391 entity
Predicate locatedBetween P1262 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: [Moss Landing, California, locatedBetween, Santa Cruz, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Cruz, California
Context triple: [Moss Landing, California, locatedBetween, 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 coastal municipality in the Philippine island province of Marinduque known for its fishing communities and rural island-barangays.
  • C. Santa Cruz
    Santa Cruz is a Christian religious dedication to the Holy Cross, venerated as the patron of the Spanish municipality of Abanilla.
  • D. Santa Cruz
    Saint Croix is the largest of the U.S. Virgin Islands in the Caribbean, known for its colonial history, beaches, and coral reefs.
  • E. Santa Cruz
    Santa Cruz is a coastal parish in the municipality of Santiago do Cacém in Portugal, known for its Atlantic beaches and seaside tourism.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671717b88190974f542015f641e8 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.