Triple

T20050701
Position Surface form Disambiguated ID Type / Status
Subject Isla Flamenco E499189 entity
Predicate locatedIn P40 FINISHED
Object Panama City NE NERFINISHED

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 | Statement: [Isla Flamenco, locatedIn, Panama City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panama City
Context triple: [Isla Flamenco, locatedIn, Panama City]
  • 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. Panam City
    Panam City is a historic, centuries-old urban settlement in Sonargaon, Bangladesh, renowned for its abandoned colonial-era mansions and role as a former trading and administrative center.
  • D. Puerto Cortés
    Puerto Cortés is a major Honduran Caribbean port city known as one of Central America’s busiest and most important maritime hubs.
  • E. Porto Bello
    Porto Bello is a historic Caribbean port town in present-day Panama that was a key hub of Spanish colonial trade and frequent target of privateers and naval battles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632d9d888190b0985bb5ed989311 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.