Triple

T6495826
Position Surface form Disambiguated ID Type / Status
Subject Entre Ríos Province E148156 entity
Predicate containsCity P294 FINISHED
Object Colón
Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
E595344 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: [Entre Ríos Province, containsCity, Colón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colón
Context triple: [Entre Ríos Province, containsCity, Colón]
  • A. 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.
  • B. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • C. Cristóbal Colón de Toledo
    Cristóbal Colón de Toledo was a Spanish nobleman and descendant of Christopher Columbus, belonging to the prominent Colón family that held titles and estates in the New World.
  • D. Diego Columbus
    Diego Columbus was the eldest legitimate son of Christopher Columbus who became a Spanish colonial governor in the Caribbean, notably serving as Viceroy of the Indies.
  • E. Portolá
    Portolá is a Spanish surname most notably associated with Gaspar de Portolá, the 18th-century explorer and first Spanish governor of Alta California.
  • 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: [Entre Ríos Province, containsCity, Colón]
Generated description
Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Colón
Target entity description: Colón is a riverside city in Argentina known for its tourism, hot springs, and access to the Uruguay River.
  • A. 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.
  • B. Colón
    Colón is a municipality and city in western Cuba known for its agricultural surroundings and colonial-era architecture.
  • C. Cristóbal Colón de Toledo
    Cristóbal Colón de Toledo was a Spanish nobleman and descendant of Christopher Columbus, belonging to the prominent Colón family that held titles and estates in the New World.
  • D. Diego Columbus
    Diego Columbus was the eldest legitimate son of Christopher Columbus who became a Spanish colonial governor in the Caribbean, notably serving as Viceroy of the Indies.
  • E. Portolá
    Portolá is a Spanish surname most notably associated with Gaspar de Portolá, the 18th-century explorer and first Spanish governor of Alta California.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06ab958808190bd85e007e925ffc4 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653c414f08190be64a337fc936a6f completed March 27, 2026, 9:54 a.m.
NEDg Description generation batch_69c654dd4a4881909bdc30a43ec96453 completed March 27, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_69c6559ef2a48190aae55204cadea11c completed March 27, 2026, 10:02 a.m.
Created at: March 22, 2026, 4:53 p.m.