Triple

T8410375
Position Surface form Disambiguated ID Type / Status
Subject Coronado Peninsula E198606 entity
Predicate hosts P186 FINISHED
Object City of 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: City of Coronado | Statement: [Coronado Peninsula, hosts, City of Coronado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Coronado
Context triple: [Coronado Peninsula, hosts, City of 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. Carlsbad
    Carlsbad is a city in southeastern New Mexico known as the gateway to Carlsbad Caverns National Park.
  • D. 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.
  • E. Rosarito
    Rosarito is a coastal resort city in northern Baja California, Mexico, known for its beaches, tourism, and proximity to the U.S. border.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83dec1f08190ae08719e860b29fa completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0317cb188190b207bcaffb629a75 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:05 p.m.