Triple

T3134768
Position Surface form Disambiguated ID Type / Status
Subject Santa Ynez Mountains E65500 entity
Predicate cityAtFoot P3207 FINISHED
Object Goleta E164416 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: Goleta | Statement: [Santa Ynez Mountains, cityAtFoot, Goleta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goleta
Context triple: [Santa Ynez Mountains, cityAtFoot, Goleta]
  • A. Goleta chosen
    Goleta is a coastal city in Southern California known for its proximity to the University of California, Santa Barbara, and its beaches and agricultural history.
  • B. Cayucos
    Cayucos is a small coastal town in California known for its historic pier, scenic beaches, and laid-back surf culture.
  • C. Solana Beach
    Solana Beach is a small coastal city in Southern California known for its beaches, arts scene, and relaxed seaside atmosphere.
  • 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. Rosarito
    Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada562540081908627950dd0b56a1e completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235b2aa388190ae9dc569b951206d completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.