Triple

T5218685
Position Surface form Disambiguated ID Type / Status
Subject Stinson Beach E117814 entity
Predicate near P350 FINISHED
Object Bolinas E134477 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: Bolinas | Statement: [Stinson Beach, near, Bolinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolinas
Context triple: [Stinson Beach, near, 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 (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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a96d49c8190a58726a57edebdcc completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefebe3b081909f3fe50cf3d73653 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.