Triple

T8009892
Position Surface form Disambiguated ID Type / Status
Subject Arroyo Grande E186458 entity
Predicate hasNearbyCity P350 FINISHED
Object San Luis Obispo E202755 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: San Luis Obispo | Statement: [Arroyo Grande, hasNearbyCity, San Luis Obispo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Luis Obispo
Context triple: [Arroyo Grande, hasNearbyCity, San Luis Obispo]
  • A. San Luis Obispo chosen
    San Luis Obispo is a small coastal city in California known for its historic downtown, nearby beaches and wineries, and its location along the scenic Highway 1 between Los Angeles and San Francisco.
  • B. Santa Paula
    Santa Paula is a small agricultural city in Southern California known for its citrus and avocado groves and historic downtown.
  • C. Santa Barbara
    Santa Barbara is a district or neighborhood within the Italian coastal town of Muggia, near Trieste in the Friuli Venezia Giulia region.
  • D. Santa Barbara
    Santa Barbara is a picturesque coastal city in California known for its Mediterranean climate, red-tile roofs, and distinctive Spanish Colonial Revival architecture.
  • E. Santa Barbara
    Santa Barbara is a historic inland municipality in Iloilo province in the Philippines, known for its role in the Philippine Revolution and its well-preserved heritage sites.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d70caf8819090a9f98025470c0d completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccecaf89e88190b347abc200d1a266 completed April 1, 2026, 10 a.m.
Created at: March 30, 2026, 5:19 p.m.