Triple

T899182
Position Surface form Disambiguated ID Type / Status
Subject Spanish-speaking world E19408 entity
Predicate hasMajorCity P316 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: [Spanish-speaking world, hasMajorCity, Panama City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panama City
Context triple: [Spanish-speaking world, hasMajorCity, 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. 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.
  • D. Santa Marta
    Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
  • E. Santiago de Veraguas
    Santiago de Veraguas is a principal urban and commercial center in western Panama and the capital of Veraguas Province.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad4162848190aa2787b2fa3e6575 completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826d4030081909a1c3347228f65c1 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:39 p.m.