Triple

T4273364
Position Surface form Disambiguated ID Type / Status
Subject Hole E96988 entity
Predicate single P3283 FINISHED
Object Malibu E151892 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: Malibu | Statement: [Hole, single, Malibu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malibu
Context triple: [Hole, single, Malibu]
  • A. Malibu, California chosen
    Malibu, California is a coastal city in Los Angeles County known for its scenic beaches, affluent residential communities, and role as a hub for entertainment industry professionals.
  • B. Santa Monica
    Santa Monica is a coastal city in western Los Angeles County, California, known for its iconic pier, beaches, and vibrant tourism and entertainment scene.
  • C. Laguna Beach
    Laguna Beach is a coastal Southern California city renowned for its scenic beaches, vibrant arts community, and historic role as a hub for the California Impressionist art movement.
  • D. Los Feliz
    Los Feliz is a historic and trendy neighborhood in central Los Angeles known for its hillside homes, proximity to Griffith Park, and vibrant dining and nightlife scene.
  • E. Calabasas
    Calabasas is an affluent city in Los Angeles County, California, known for its gated communities, celebrity residents, and location in the hills west of the San Fernando Valley.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ffe44508190875d734eb18dfb87 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7ace6c881908e1fbde95a2a3c04 completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:07 p.m.