Triple

T9446434
Position Surface form Disambiguated ID Type / Status
Subject Encinitas E227775 entity
Predicate contains P35 FINISHED
Object New Encinitas E157741 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: New Encinitas | Statement: [Encinitas, contains, New Encinitas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Encinitas
Context triple: [Encinitas, contains, New Encinitas]
  • A. Encinitas
    Encinitas is a coastal city in northern San Diego County, California, known for its beaches, surf culture, and relaxed Southern California lifestyle.
  • B. Encinitas, California, United States chosen
    Encinitas, California, United States is a coastal city in northern San Diego County known for its surf beaches, laid-back atmosphere, and vibrant flower-growing industry.
  • C. 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.
  • D. Oceanside
    Oceanside is a suburban hamlet in Nassau County, Long Island, New York, known as a residential community near the South Shore waterfront.
  • E. Solana Beach
    Solana Beach is a small coastal city in Southern California known for its beaches, arts scene, and relaxed seaside atmosphere.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f35394c8190aa77528dabd6139c completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1106aeb708190bbbe1d05b7472194 completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:51 p.m.