Triple

T18893709
Position Surface form Disambiguated ID Type / Status
Subject Marin County Public Library E462156 entity
Predicate hasHeadquartersLocation P62 FINISHED
Object San Rafael, 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: San Rafael, California | Statement: [Marin County Public Library, hasHeadquartersLocation, San Rafael, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Rafael, California
Context triple: [Marin County Public Library, hasHeadquartersLocation, San Rafael, California]
  • A. San Rafael
    San Rafael is a barangay (village-level administrative division) within the municipality of San Antonio in the province of Zambales, Philippines.
  • B. San Rafael
    San Rafael is a landlocked agricultural municipality in the province of Bulacan in the Philippines, known for its historical sites and growing suburban communities.
  • C. San Rafael chosen
    San Rafael is a city in the North Bay region of the San Francisco Bay Area in California, known for its historic downtown and role as a cultural and economic hub of Marin County.
  • D. San Rafael
    San Rafael is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
  • E. San Rafael
    San Rafael is a barangay (village-level administrative division) within the municipality of San Narciso in the province of Zambales, Philippines.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47d392c81909297211c7d7610a1 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.