Triple

T4462967
Position Surface form Disambiguated ID Type / Status
Subject Linares Province E98300 entity
Predicate hasMunicipality P847 FINISHED
Object Yerbas Buenas
Yerbas Buenas is a historic rural town and municipality in Chile’s Maule Region, known for its colonial heritage and role in the country’s independence era.
E441402 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: Yerbas Buenas | Statement: [Linares Province, hasMunicipality, Yerbas Buenas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yerbas Buenas
Context triple: [Linares Province, hasMunicipality, Yerbas Buenas]
  • A. Anamirta
    Anamirta is a genus of tropical climbing plants known for species that produce toxic alkaloids historically used as fish poisons and insecticides.
  • B. Algarrobo
    Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
  • C. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • D. Jacinto
    Jacinto is the cruel caretaker and primary antagonist in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
  • E. Huachipato
    Huachipato is a Chilean professional football club based in Talcahuano, known for competing in the country’s top division and for its strong steel-industry roots.
  • 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: Yerbas Buenas
Triple: [Linares Province, hasMunicipality, Yerbas Buenas]
Generated description
Yerbas Buenas is a historic rural town and municipality in Chile’s Maule Region, known for its colonial heritage and role in the country’s independence era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yerbas Buenas
Target entity description: Yerbas Buenas is a historic rural town and municipality in Chile’s Maule Region, known for its colonial heritage and role in the country’s independence era.
  • A. Anamirta
    Anamirta is a genus of tropical climbing plants known for species that produce toxic alkaloids historically used as fish poisons and insecticides.
  • B. Algarrobo
    Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
  • C. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • D. Jacinto
    Jacinto is the cruel caretaker and primary antagonist in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
  • E. Huachipato
    Huachipato is a Chilean professional football club based in Talcahuano, known for competing in the country’s top division and for its strong steel-industry roots.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567716a4819092a5bc9732e74592 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6284b90708190b557b66bd7533f4e completed March 15, 2026, 3:32 a.m.
NEDg Description generation batch_69b62954b77c8190968f844514656415 completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62a0cd92c8190a9eee2a9d73fb679 completed March 15, 2026, 3:39 a.m.
Created at: March 12, 2026, 11:34 p.m.