Triple

T19589481
Position Surface form Disambiguated ID Type / Status
Subject La Libertad Department E470192 entity
Predicate contains P35 FINISHED
Object Colón
Colón is a town in El Salvador’s La Libertad Department, known as a local municipal center within the region.
 E1385477 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: [La Libertad Department, contains, Colón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Colón
Context triple: [La Libertad Department, contains, 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 small municipality located in Colombia's southern Amazonian region within the Putumayo Department.
  • 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: [La Libertad Department, contains, Colón]
Generated description
Colón is a town in El Salvador’s La Libertad Department, known as a local municipal center within the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Colón
Target entity description: Colón is a town in El Salvador’s La Libertad Department, known as a local municipal center within the region.
  • A. Colón
    Colón is a city in northeastern Honduras known as a regional hub near the Caribbean coast and the Bay Islands.
  • B. Colón
    Colón is a small municipality located in Colombia's southern Amazonian region within the Putumayo Department.
  • 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 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.
  • F. None of above. chosen

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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64054299481908d83c85cefdab075 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1514e48190b3d4cba9663a5de0 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a07635554e48190bddd41b6635fddf1 completed May 15, 2026, 6:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0764285fe08190a9a2a270f781e500 completed May 15, 2026, 6:21 p.m.
Created at: April 10, 2026, 1:43 p.m.