Triple

T5611787
Position Surface form Disambiguated ID Type / Status
Subject Isla Vista E147374 entity
Predicate adjacentTo P224 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: [Isla Vista, adjacentTo, Goleta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goleta
Context triple: [Isla Vista, adjacentTo, 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. San Clemente
    San Clemente is a small, rural municipality in the province of Tarlac in the Philippines, known for its agricultural landscape and quiet provincial character.
  • C. San Clemente
    San Clemente is a coastal city in southern Orange County, California, known for its Spanish Colonial-style architecture, scenic beaches, and popular surf spots.
  • D. San Clemente
    San Clemente is a Chilean municipality and town located in the Maule Region, known for its agricultural activities and proximity to the Andes.
  • E. Cayucos
    Cayucos is a small coastal town in California known for its historic pier, scenic beaches, and laid-back surf culture.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0211fad448190b068b77ed25931d5 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a074b7c8190ab70dde6f35f84d6 completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:39 p.m.