Triple

T20717194
Position Surface form Disambiguated ID Type / Status
Subject Minas Department E509201 entity
Predicate hasSettlement P1068 FINISHED
Object Huinganco
Huinganco is a small mountain town in Argentina’s Neuquén Province, known for its scenic Andean landscapes and forestry-based economy.
E1446855 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: Huinganco | Statement: [Minas Department, hasSettlement, Huinganco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huinganco
Context triple: [Minas Department, hasSettlement, Huinganco]
  • A. Huenchula
    Huenchula is a figure from Chilote mythology, often depicted as a supernatural or magical being associated with the folklore of Chile’s Chiloé Archipelago.
  • B. Gachancipá
    Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
  • C. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • D. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • E. Cailungo
    Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
  • 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: Huinganco
Triple: [Minas Department, hasSettlement, Huinganco]
Generated description
Huinganco is a small mountain town in Argentina’s Neuquén Province, known for its scenic Andean landscapes and forestry-based economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Huinganco
Target entity description: Huinganco is a small mountain town in Argentina’s Neuquén Province, known for its scenic Andean landscapes and forestry-based economy.
  • A. Huenchula
    Huenchula is a figure from Chilote mythology, often depicted as a supernatural or magical being associated with the folklore of Chile’s Chiloé Archipelago.
  • B. Gachancipá
    Gachancipá is a municipality in the Cundinamarca Department of Colombia, located in the central highlands near Bogotá.
  • C. Guiguinto
    Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
  • D. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • E. Cailungo
    Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1d2c57481909840945ffd3b0cc3 completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e0535e58819085b7938ea8084725 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e14b54ac819086030e7768924440 completed May 16, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08e1d668d0819098db655826d4a24a completed May 16, 2026, 9:29 p.m.
Created at: April 16, 2026, 12:16 p.m.