Triple

T3343552
Position Surface form Disambiguated ID Type / Status
Subject Hotel del Coronado E70315 entity
Predicate locatedIn P40 FINISHED
Object Coronado, California 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, California | Statement: [Hotel del Coronado, locatedIn, Coronado, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coronado, California
Context triple: [Hotel del Coronado, locatedIn, Coronado, California]
  • 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. Santa Barbara
    Santa Barbara is a picturesque coastal city in California known for its Mediterranean climate, red-tile roofs, and distinctive Spanish Colonial Revival architecture.
  • C. Santa Barbara
    Santa Barbara is a historic inland municipality in Iloilo province in the Philippines, known for its role in the Philippine Revolution and its well-preserved heritage sites.
  • D. Monterey
    Monterey is a historic coastal city in Northern California known for its scenic bay, marine life, and former prominence as a sardine-canning and fishing center.
  • E. Monterey
    Monterey is a small rural town in Berkshire County, western Massachusetts, known for its scenic landscapes, forests, and lakes.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f06f8c8190a6b7c56ac3f5ff07 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4cd6cd08190ba6d379c8dc48723 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:12 p.m.