Triple

T4538515
Position Surface form Disambiguated ID Type / Status
Subject Chilote mythology E107468 entity
Predicate hasPart P35 FINISHED
Object La Ligua (spirit)
La Ligua is a malevolent spirit from Chilote mythology, often associated with causing illness, misfortune, and supernatural harm to humans.
 E450208 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: La Ligua (spirit) | Statement: [Chilote mythology, hasPart, La Ligua (spirit)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Ligua (spirit)
Context triple: [Chilote mythology, hasPart, La Ligua (spirit)]
  • A. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • B. Vélez
    Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
  • C. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • D. Molinero
    Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
  • E. Equirria
    Equirria was an ancient Roman festival dedicated to Mars that centered on horse races and rites connected to warfare and the agricultural year.
  • 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: La Ligua (spirit)
Triple: [Chilote mythology, hasPart, La Ligua (spirit)]
Generated description
La Ligua is a malevolent spirit from Chilote mythology, often associated with causing illness, misfortune, and supernatural harm to humans.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Ligua (spirit)
Target entity description: La Ligua is a malevolent spirit from Chilote mythology, often associated with causing illness, misfortune, and supernatural harm to humans.
  • A. Azaña
    Azaña is the surname of Manuel Azaña, a prominent Spanish politician and writer who served as President of the Second Spanish Republic.
  • B. Vélez
    Vélez is a municipality in Colombia’s Santander Department known for its colonial heritage and traditional sweets.
  • C. Vélez
    Vélez is a Spanish-language surname common in Latin America and Spain, borne by various notable figures in arts, sports, and public life.
  • D. Molinero
    Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
  • E. Equirria
    Equirria was an ancient Roman festival dedicated to Mars that centered on horse races and rites connected to warfare and the agricultural year.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57b8c4788190b35d110553013ff1 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacfb2ba48190b7f1b23785e9d030 completed March 20, 2026, 8:24 p.m.
NEDg Description generation batch_69bdaf867740819090367e5ebd37b4d4 completed March 20, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69bdafeb5e0881909d4ee62b066dee91 completed March 20, 2026, 8:36 p.m.
Created at: March 20, 2026, 1:04 p.m.