Triple

T17482233
Position Surface form Disambiguated ID Type / Status
Subject Puerto de La Ceiba E425689 entity
Predicate servesCity P82 FINISHED
Object La Ceiba 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: La Ceiba | Statement: [Puerto de La Ceiba, servesCity, La Ceiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Ceiba
Context triple: [Puerto de La Ceiba, servesCity, La Ceiba]
  • A. La Ceiba chosen
    La Ceiba is a prominent coastal city in northern Honduras known for its Caribbean port, vibrant nightlife, and annual carnival celebrations.
  • B. La Selva
    La Selva is a comarca (county) in the southern part of the Province of Girona in Catalonia, Spain, known for its mix of coastal resorts on the Costa Brava and inland forests and thermal spa towns.
  • C. Ceiba
    Ceiba is a genus of large tropical trees, including the iconic kapok tree, known for their towering trunks, buttress roots, and ecological and cultural importance in tropical America and West Africa.
  • D. Ceiba
    Ceiba is a coastal municipality in eastern Puerto Rico known for its former naval base and proximity to the islands of Vieques and Culebra.
  • E. Guana
    Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451c0db14819098922453131fb40a completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.