Triple

T19764791
Position Surface form Disambiguated ID Type / Status
Subject West Marin E474723 entity
Predicate hasTown P847 FINISHED
Object Bolinas 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: Bolinas | Statement: [West Marin, hasTown, Bolinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolinas
Context triple: [West Marin, hasTown, Bolinas]
  • A. Bolinas chosen
    Bolinas is a small, unincorporated coastal community in Northern California known for its secluded beaches, artistic residents, and long-standing resistance to tourism and development.
  • B. Cayucos
    Cayucos is a small coastal town in California known for its historic pier, scenic beaches, and laid-back surf culture.
  • C. Pismo Beach
    Pismo Beach is a classic California coastal city known for its wide sandy beaches, surfing, and laid-back seaside tourism.
  • D. Morro Bay
    Morro Bay is a small coastal city in San Luis Obispo County, California, known for its natural harbor, fishing industry, and the prominent volcanic plug Morro Rock at its entrance.
  • E. San Rafael
    San Rafael is a major city in Argentina’s Mendoza Province, known for its wine production, agriculture, and proximity to popular Andean tourist attractions.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653226af081909992ff5568bb54a5 completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.