Triple

T13827819
Position Surface form Disambiguated ID Type / Status
Subject Rancho Palos Verdes E332298 entity
Predicate adjacentTo P224 FINISHED
Object San Pedro E124932 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 Pedro | Statement: [Rancho Palos Verdes, adjacentTo, San Pedro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pedro
Context triple: [Rancho Palos Verdes, adjacentTo, San Pedro]
  • A. San Pedro chosen
    San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
  • B. San Pedro
    San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • C. San Pedro
    San Pedro is the main town and administrative center of the municipality of Breña Alta on the island of La Palma in Spain’s Canary Islands.
  • D. San Pedro
    San Pedro is an affluent suburban municipality in the Monterrey metropolitan area of Nuevo León, Mexico, known for its high quality of life and business districts.
  • E. San Pedro
    San Pedro is a common Spanish place name element often referring to locations named after Saint Peter, such as towns, neighborhoods, or municipalities in Spanish-speaking regions.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0295d2d48190b08eba0d805bd72d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c7062f548190a6a8d06ef2eefc9f completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:13 p.m.