Triple

T2928536
Position Surface form Disambiguated ID Type / Status
Subject Cautín Province E78902 entity
Predicate hasMunicipality P847 FINISHED
Object Cunco
Cunco is a small town and municipality in southern Chile’s Araucanía Region, known for its rural character and proximity to lakes and Andean landscapes.
E312274 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: Cunco | Statement: [Cautín Province, hasMunicipality, Cunco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cunco
Context triple: [Cautín Province, hasMunicipality, Cunco]
  • A. Banzi
    Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
  • B. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • C. Pichi
    Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • D. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • E. Cobi
    Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
  • 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: Cunco
Triple: [Cautín Province, hasMunicipality, Cunco]
Generated description
Cunco is a small town and municipality in southern Chile’s Araucanía Region, known for its rural character and proximity to lakes and Andean landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cunco
Target entity description: Cunco is a small town and municipality in southern Chile’s Araucanía Region, known for its rural character and proximity to lakes and Andean landscapes.
  • A. Banzi
    Banzi is a town in the Basilicata region of southern Italy, known as the modern site near the ancient Lucanian city of Bantia.
  • B. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • C. Pichi
    Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • D. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • E. Cobi
    Cobi is the cubist-style Catalan sheepdog character that served as the official mascot of the 1992 Barcelona Summer Olympics.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97ff0ddc8190acba9863bbe4f54b completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0866c24c88190af6c5246b5c78c70 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d55128fc8190919354199e4c21bf completed March 11, 2026, 2:37 a.m.
NED2 Entity disambiguation (via description) batch_69b0d5f35adc81909af0a7cafbeb92de completed March 11, 2026, 2:39 a.m.
Created at: March 8, 2026, 2:55 p.m.