Triple

T7797997
Position Surface form Disambiguated ID Type / Status
Subject Huntington Beach E180348 entity
Predicate borderedBy P224 FINISHED
Object Seal Beach E224818 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: Seal Beach | Statement: [Huntington Beach, borderedBy, Seal Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seal Beach
Context triple: [Huntington Beach, borderedBy, Seal Beach]
  • A. Seal Beach, California chosen
    Seal Beach, California is a coastal city in northwestern Orange County known for its wide sandy beaches, classic wooden pier, and small-town surf culture.
  • B. Imperial Beach
    Imperial Beach is a small coastal city in Southern California known for its sandy beaches, surfing culture, and location at the southern end of the San Diego Bay near the U.S.–Mexico border.
  • C. Hermosa Beach
    Hermosa Beach is a coastal city in Los Angeles County known for its sandy beaches, surf culture, and vibrant beachfront community.
  • D. Oceanside
    Oceanside is a coastal city in northern San Diego County known for its beaches, historic wooden pier, and laid-back Southern California surf culture.
  • E. Oceanside
    Oceanside is a suburban hamlet in Nassau County, Long Island, New York, known as a residential community near the South Shore waterfront.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae984185881908117f9f549ffc443 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc55d5650c8190862d89d1dcc488b4 completed March 31, 2026, 11:16 p.m.
Created at: March 30, 2026, 4:32 p.m.