Triple

T7958562
Position Surface form Disambiguated ID Type / Status
Subject Caquetá Department E184801 entity
Predicate containsMunicipality P852 FINISHED
Object Curillo
Curillo is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character and proximity to Amazonian rainforest regions.
 E704003 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: Curillo | Statement: [Caquetá Department, containsMunicipality, Curillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Curillo
Context triple: [Caquetá Department, containsMunicipality, Curillo]
  • A. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • B. Mariquina
    Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
  • C. Guagua
    Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
  • D. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • E. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • 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: Curillo
Triple: [Caquetá Department, containsMunicipality, Curillo]
Generated description
Curillo is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character and proximity to Amazonian rainforest regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Curillo
Target entity description: Curillo is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character and proximity to Amazonian rainforest regions.
  • A. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • B. Mariquina
    Mariquina is a commune and town in southern Chile, located in the Los Ríos Region and known for its rural landscapes and Mapuche cultural presence.
  • C. Guagua
    Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
  • D. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • E. Pacasmayo
    Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b80050c81909b2db95ade495052 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe07d31a881909e891fdd73c4467b completed March 31, 2026, 2:55 p.m.
NEDg Description generation batch_69cbe554dfd881909edf2c20a7035f17 completed March 31, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_69cc3429f4148190981d30c3cc4c3c9a completed March 31, 2026, 8:52 p.m.
Created at: March 30, 2026, 5:11 p.m.