Triple

T2671053
Position Surface form Disambiguated ID Type / Status
Subject Panamá Province E55747 entity
Predicate hasLargestCity P235 FINISHED
Object Panama City 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 | Statement: [Panamá Province, hasLargestCity, Panama City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panama City
Context triple: [Panamá Province, hasLargestCity, 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. Santo Domingo
    Santo Domingo is a major city in Ecuador known as a commercial and transportation hub in the country’s central coastal region.
  • D. Port of Colón
    The Port of Colón is a major Caribbean seaport at the Atlantic entrance of the Panama Canal, serving as a key hub for international maritime trade and container transshipment.
  • E. Santa Marta
    Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd98e7d00819088398206fc7db477 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb50cec8190aea067e486a5b092 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:54 p.m.