Triple

T9017558
Position Surface form Disambiguated ID Type / Status
Subject Agua Hedionda Lagoon E215629 entity
Predicate city P40 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: [Agua Hedionda Lagoon, city, Carlsbad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlsbad
Context triple: [Agua Hedionda Lagoon, city, Carlsbad]
  • A. 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.
  • B. Carlsbad
    Carlsbad is a city in southeastern New Mexico known as the gateway to Carlsbad Caverns National Park.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a3ef98081909e66372a89f881b9 completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d07744bf8c8190a0ade558f991935f completed April 4, 2026, 2:28 a.m.
Created at: March 30, 2026, 7:07 p.m.