Triple

T7958561
Position Surface form Disambiguated ID Type / Status
Subject Caquetá Department E184801 entity
Predicate containsMunicipality P852 FINISHED
Object Solita
Solita is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character within the Amazonian foothills region.
E704002 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: Solita | Statement: [Caquetá Department, containsMunicipality, Solita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solita
Context triple: [Caquetá Department, containsMunicipality, Solita]
  • A. Sutrio
    Sutrio is a small village in Italy’s Friuli-Venezia Giulia region, known as a traditional Alpine community and a base for accessing the nearby Monte Zoncolan ski and cycling area.
  • B. Siatista
    Siatista is a historic town in Western Macedonia, Greece, known for its traditional mansions, fur trade, and cultural heritage.
  • C. Tredozio
    Tredozio is a small Italian municipality in the Emilia-Romagna region, known for its scenic Apennine landscapes and traditional local festivals.
  • D. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • E. Allerona
    Allerona is a small historic hill town in the Umbria region of central Italy, known for its medieval architecture and scenic countryside.
  • 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: Solita
Triple: [Caquetá Department, containsMunicipality, Solita]
Generated description
Solita is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character within the Amazonian foothills region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Solita
Target entity description: Solita is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character within the Amazonian foothills region.
  • A. Sutrio
    Sutrio is a small village in Italy’s Friuli-Venezia Giulia region, known as a traditional Alpine community and a base for accessing the nearby Monte Zoncolan ski and cycling area.
  • B. Siatista
    Siatista is a historic town in Western Macedonia, Greece, known for its traditional mansions, fur trade, and cultural heritage.
  • C. Tredozio
    Tredozio is a small Italian municipality in the Emilia-Romagna region, known for its scenic Apennine landscapes and traditional local festivals.
  • D. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • E. Allerona
    Allerona is a small historic hill town in the Umbria region of central Italy, known for its medieval architecture and scenic countryside.
  • 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.