Triple

T14811201
Position Surface form Disambiguated ID Type / Status
Subject The Del E348181 entity
Predicate city P40 FINISHED
Object Coronado E148166 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: Coronado | Statement: [The Del, city, Coronado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coronado
Context triple: [The Del, city, Coronado]
  • A. Coronado chosen
    Coronado is a resort city on a peninsula in Southern California known for its historic Hotel del Coronado, beaches, and proximity to downtown San Diego.
  • B. Coronado
    Coronado is a summit of the Pichu Pichu volcanic massif in southern Peru, forming part of the Andean mountain range.
  • C. Calipatria
    Calipatria is a small city in Southern California’s Imperial Valley known for its agricultural economy and notably low elevation below sea level.
  • D. San Quintín
    San Quintín is a coastal town in Baja California, Mexico, known for its agricultural production, volcanic landscapes, and growing tourism along the Pacific coast.
  • E. Carlsbad
    Carlsbad is a coastal city in northern San Diego County, California, known for its beaches, family attractions like LEGOLAND California, and affluent residential communities.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf374f288190aa918b1b6b507420 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b47389c8190ab0a46e3b4653a2a completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:46 a.m.