Triple

T3409140
Position Surface form Disambiguated ID Type / Status
Subject Chocó Department E71846 entity
Predicate containsCity P294 FINISHED
Object Condoto
Condoto is a small mining town in western Colombia known historically for its gold and platinum production and Afro-Colombian cultural heritage.
 E355361 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: Condoto | Statement: [Chocó Department, containsCity, Condoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Condoto
Context triple: [Chocó Department, containsCity, Condoto]
  • A. Condon
    Condon is a surname of Irish origin borne by various notable individuals in fields such as science, politics, and the arts.
  • B. Concerviano
    Concerviano is a small municipality in the Lazio region of central Italy, known for its rural setting and proximity to the Apennine mountains.
  • C. Mansueto
    Mansueto is an Italian-origin surname most notably associated with billionaire entrepreneur and Morningstar founder Joe Mansueto.
  • D. Concesio
    Concesio is a municipality in the province of Brescia in the Lombardy region of northern Italy.
  • E. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • 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: Condoto
Triple: [Chocó Department, containsCity, Condoto]
Generated description
Condoto is a small mining town in western Colombia known historically for its gold and platinum production and Afro-Colombian cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Condoto
Target entity description: Condoto is a small mining town in western Colombia known historically for its gold and platinum production and Afro-Colombian cultural heritage.
  • A. Condon
    Condon is a surname of Irish origin borne by various notable individuals in fields such as science, politics, and the arts.
  • B. Concerviano
    Concerviano is a small municipality in the Lazio region of central Italy, known for its rural setting and proximity to the Apennine mountains.
  • C. Mansueto
    Mansueto is an Italian-origin surname most notably associated with billionaire entrepreneur and Morningstar founder Joe Mansueto.
  • D. Concesio
    Concesio is a municipality in the province of Brescia in the Lombardy region of northern Italy.
  • E. Nolano
    Nolano is the Italian demonym for a person from the town of Nola in the Campania region of southern Italy.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb90754788190ab85e2bec020f99e completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bdd99248190823875cae2531609 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e486c3c81908e73c5b75baf119c completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc420b08190baee678721b1b32c completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.