Triple

T9446435
Position Surface form Disambiguated ID Type / Status
Subject Encinitas E227775 entity
Predicate locatedNear P294 FINISHED
Object Carlsbad E40828 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: Carlsbad | Statement: [Encinitas, locatedNear, Carlsbad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlsbad
Context triple: [Encinitas, locatedNear, Carlsbad]
  • A. Carlsbad
    Carlsbad is a city in southeastern New Mexico known as the gateway to Carlsbad Caverns National Park.
  • B. Carlsbad chosen
    Carlsbad is a coastal city in northern San Diego County, California, known for its beaches, family attractions like LEGOLAND California, and affluent residential communities.
  • C. Chula Vista
    Chula Vista is a large coastal city in Southern California known for its diverse communities, rapid suburban growth, and proximity to both downtown San Diego and the U.S.–Mexico border.
  • D. San Diego
    San Diego is a large coastal city in Southern California known for its mild climate, beaches, naval base, and proximity to the Mexican border.
  • 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_69d189e601508190b116fca9854057bc completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 7:51 p.m.