Triple

T14224046
Position Surface form Disambiguated ID Type / Status
Subject Fort Santiago de la Gloria E352570 entity
Predicate nearbyCity P350 FINISHED
Object Colón
Colón is a major Panamanian port city on the Caribbean coast, known historically as a key gateway to the Panama Canal and a hub for international trade.
 E14841 NE FINISHED

How this triple was built (4 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: Colón | Statement: [Fort Santiago de la Gloria, nearbyCity, Colón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Colón
Context triple: [Fort Santiago de la Gloria, nearbyCity, Colón]
  • A. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • B. Colón
    Colón is a city in northeastern Honduras known as a regional hub near the Caribbean coast and the Bay Islands.
  • C. Colón
    Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
  • D. Colón
    Colón is a Spanish-origin surname commonly found in Hispanic communities and notably borne by figures such as comic book artist Ernie Colón.
  • E. Colón
    Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Colón
Triple: [Fort Santiago de la Gloria, nearbyCity, Colón]
Generated description
Colón is a major Panamanian port city on the Caribbean coast, known historically as a key gateway to the Panama Canal and a hub for international trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Colón
Target entity description: Colón is a major Panamanian port city on the Caribbean coast, known historically as a key gateway to the Panama Canal and a hub for international trade.
  • A. Colón chosen
    Colón is a major Panamanian port city on the Caribbean coast, known as a key gateway to the Panama Canal and an important center for trade and shipping.
  • B. Colón
    Colón is a city in northeastern Honduras known as a regional hub near the Caribbean coast and the Bay Islands.
  • C. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • D. Colón
    Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
  • E. Colón
    Colón is a small municipality located in Colombia's southern Amazonian region within the Putumayo Department.
  • F. None of above.

Provenance (5 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6227c288819081473ce44f9f0934 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281611b48190b787e38ba9c733a4 completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2a5c80308190868967a402c5fa42 completed May 8, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69fd2af4ddf8819089435b849415b941 completed May 8, 2026, 12:14 a.m.
Created at: April 10, 2026, 1:06 a.m.