Triple

T5485302
Position Surface form Disambiguated ID Type / Status
Subject Del Mar E123564 entity
Predicate hasNearbyCity P350 FINISHED
Object Encinitas E227775 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: Encinitas | Statement: [Del Mar, hasNearbyCity, Encinitas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Encinitas
Context triple: [Del Mar, hasNearbyCity, Encinitas]
  • A. Encinitas chosen
    Encinitas is a coastal city in northern San Diego County, California, known for its beaches, surf culture, and relaxed Southern California lifestyle.
  • B. Carpinteria
    Carpinteria is a small coastal city in Southern California known for its beaches, laid-back atmosphere, and annual avocado festival.
  • 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. Grover Beach
    Grover Beach is a small coastal city in California known for its beach access, dunes, and relaxed seaside community.
  • 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9260d90c819087f34ab24662575d completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c812d4c8190a22f76b787ab0f10 completed March 22, 2026, 4:13 a.m.
Created at: March 20, 2026, 2:10 p.m.