Triple

T4297904
Position Surface form Disambiguated ID Type / Status
Subject Punta Paitilla E99759 entity
Predicate hasViewOf P854 FINISHED
Object Panama City skyline E16091 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: Panama City skyline | Statement: [Punta Paitilla, hasViewOf, Panama City skyline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panama City skyline
Context triple: [Punta Paitilla, hasViewOf, Panama City skyline]
  • A. Panama City chosen
    Panama City is the largest urban center and economic hub of Panama, known for its modern skyline, historic Casco Viejo district, and proximity to the Panama Canal.
  • B. Panama City
    Panama City is a coastal city in the Florida Panhandle known for its white-sand beaches, tourism, and access to the Gulf of Mexico.
  • C. Miami skyline
    The Miami skyline is a striking coastal cityscape of modern high-rise buildings and iconic towers lining Biscayne Bay, especially dramatic at sunrise and sunset.
  • D. Tampa Bay waterfront
    The Tampa Bay waterfront is a scenic coastal area along Tampa Bay known for its beaches, parks, marinas, and recreational activities.
  • E. Havana urban landscape
    Havana urban landscape is the distinctive built and natural environment of Cuba’s capital, characterized by its historic architecture, coastal setting, and integration of green spaces and waterways within a dense urban fabric.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3509bff808190a86fade7ccfc3611 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c746c9108190a1a81e94b4768f3c completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.