Triple

T6792447
Position Surface form Disambiguated ID Type / Status
Subject Bahía Inglesa E155966 entity
Predicate administrativeDivision P747 FINISHED
Object Comuna de Caldera
Comuna de Caldera is a coastal municipality in Chile’s Atacama Region, known for its port city of Caldera and nearby popular beach resort Bahía Inglesa.
E619916 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: Comuna de Caldera | Statement: [Bahía Inglesa, administrativeDivision, Comuna de Caldera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comuna de Caldera
Context triple: [Bahía Inglesa, administrativeDivision, Comuna de Caldera]
  • A. Osorno Commune
    Osorno Commune is a local administrative and municipal district centered on the city of Osorno in southern Chile’s Los Lagos Region.
  • B. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • C. Coveñas
    Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
  • D. Villanubla
    Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
  • E. Comas District
    Comas District is a populous urban district in northern Lima, Peru, known for its residential neighborhoods and commercial activity within the Lima metropolitan area.
  • 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: Comuna de Caldera
Triple: [Bahía Inglesa, administrativeDivision, Comuna de Caldera]
Generated description
Comuna de Caldera is a coastal municipality in Chile’s Atacama Region, known for its port city of Caldera and nearby popular beach resort Bahía Inglesa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Comuna de Caldera
Target entity description: Comuna de Caldera is a coastal municipality in Chile’s Atacama Region, known for its port city of Caldera and nearby popular beach resort Bahía Inglesa.
  • A. Osorno Commune
    Osorno Commune is a local administrative and municipal district centered on the city of Osorno in southern Chile’s Los Lagos Region.
  • B. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • C. Coveñas
    Coveñas is a coastal municipality and popular beach destination on Colombia’s Caribbean Sea, known for its tourism and oil-related port activities.
  • D. Villanubla
    Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
  • E. Comas District
    Comas District is a populous urban district in northern Lima, Peru, known for its residential neighborhoods and commercial activity within the Lima metropolitan area.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ae4d1c819089ac6b3abf11a341 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8eaefc819098e848b3012da749 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71ba85f608190b372a4dfe2cdc31c completed March 28, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69c71c91e08c81908be81efc2087464a completed March 28, 2026, 12:10 a.m.
Created at: March 27, 2026, 2:15 p.m.