Triple

T5685762
Position Surface form Disambiguated ID Type / Status
Subject Palena Province E125309 entity
Predicate hasMunicipality P847 FINISHED
Object Hualaihué
Hualaihué is a coastal municipality in southern Chile known for its fjords, islands, and location within the Los Lagos Region’s Palena Province.
E543755 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: Hualaihué | Statement: [Palena Province, hasMunicipality, Hualaihué]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hualaihué
Context triple: [Palena Province, hasMunicipality, Hualaihué]
  • A. Tafoya
    Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
  • B. Guamote
    Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
  • C. 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.
  • D. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • E. Matlatzinca
    Matlatzinca is an indigenous language of central Mexico spoken by the Matlatzinca people, primarily in the State of Mexico.
  • 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: Hualaihué
Triple: [Palena Province, hasMunicipality, Hualaihué]
Generated description
Hualaihué is a coastal municipality in southern Chile known for its fjords, islands, and location within the Los Lagos Region’s Palena Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hualaihué
Target entity description: Hualaihué is a coastal municipality in southern Chile known for its fjords, islands, and location within the Los Lagos Region’s Palena Province.
  • A. Tafoya
    Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
  • B. Guamote
    Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
  • C. 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.
  • D. Zapatoca
    Zapatoca is a historic town and municipality in northeastern Colombia known for its colonial architecture, mild climate, and scenic Andean landscapes.
  • E. Matlatzinca
    Matlatzinca is an indigenous language of central Mexico spoken by the Matlatzinca people, primarily in the State of Mexico.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023ba52b48190b94f8a3ecff61eb4 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07dd1758c8190ad92f250e5927c0b completed March 22, 2026, 11:40 p.m.
NEDg Description generation batch_69c08c8fc45c8190acca1193d4de5d2a completed March 23, 2026, 12:42 a.m.
NED2 Entity disambiguation (via description) batch_69c08d08d76c8190b63f42b48f97749c completed March 23, 2026, 12:44 a.m.
Created at: March 22, 2026, 3:44 p.m.