Triple

T9544601
Position Surface form Disambiguated ID Type / Status
Subject Laguna Niguel, California E230248 entity
Predicate borderedBy P224 FINISHED
Object Dana Point, California E217883 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: Dana Point, California | Statement: [Laguna Niguel, California, borderedBy, Dana Point, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Point, California
Context triple: [Laguna Niguel, California, borderedBy, Dana Point, California]
  • A. Dana Point, California chosen
    Dana Point, California is a coastal city in southern Orange County known for its scenic harbor, beaches, and surfing.
  • B. Seaside, California
    Seaside, California is a coastal city on the Monterey Bay known for its proximity to Monterey and its role as a residential and educational hub on the central California coast.
  • C. Marina, California
    Marina, California is a coastal city in Monterey County known for its beaches, dunes, and proximity to Monterey Bay.
  • D. Seacliff, California
    Seacliff, California is a coastal community in Santa Cruz County known for its state beach and the concrete ship SS Palo Alto at the end of its pier.
  • E. Surfrider Beach
    Surfrider Beach is a famous Malibu surf spot known for its long, rideable waves and iconic Southern California beach 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98ebd4148190b71b134d7545fe35 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d25743261881909b207405d5eaa4cd completed April 5, 2026, 12:36 p.m.
Created at: March 30, 2026, 8:01 p.m.