Triple

T13944813
Position Surface form Disambiguated ID Type / Status
Subject Puchuncaví E335352 entity
Predicate hasPart P35 FINISHED
Object Ventanas
Ventanas is a coastal locality in central Chile known for its beaches and heavy industrial and port activities.
 E1069373 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: Ventanas | Statement: [Puchuncaví, hasPart, Ventanas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ventanas
Context triple: [Puchuncaví, hasPart, Ventanas]
  • A. Ventanas
    Ventanas is a small city in Ecuador’s Los Ríos Province, known primarily for its agricultural surroundings and role as a local commercial center.
  • B. Las Ventanas
    Las Ventanas is a notable rock formation and scenic viewpoint within Mexico’s Parque Nacional El Chico, popular for hiking and climbing.
  • C. The Window
    "The Window" is a 1949 American film noir thriller about a young boy who witnesses a murder but struggles to convince adults that the crime really occurred.
  • D. Les Fenêtres
    Les Fenêtres is a poem by Stéphane Mallarmé, noted for its symbolist exploration of perception, isolation, and the contrast between interior and exterior worlds.
  • E. Secret Window
    Secret Window is a 2004 psychological thriller film, based on a Stephen King novella and starring Johnny Depp as a troubled writer confronted by a mysterious stranger accusing him of plagiarism.
  • 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: Ventanas
Triple: [Puchuncaví, hasPart, Ventanas]
Generated description
Ventanas is a coastal locality in central Chile known for its beaches and heavy industrial and port activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ventanas
Target entity description: Ventanas is a coastal locality in central Chile known for its beaches and heavy industrial and port activities.
  • A. Ventanas
    Ventanas is a small city in Ecuador’s Los Ríos Province, known primarily for its agricultural surroundings and role as a local commercial center.
  • B. Las Ventanas
    Las Ventanas is a notable rock formation and scenic viewpoint within Mexico’s Parque Nacional El Chico, popular for hiking and climbing.
  • C. The Window
    "The Window" is a 1949 American film noir thriller about a young boy who witnesses a murder but struggles to convince adults that the crime really occurred.
  • D. Les Fenêtres
    Les Fenêtres is a poem by Stéphane Mallarmé, noted for its symbolist exploration of perception, isolation, and the contrast between interior and exterior worlds.
  • E. Secret Window
    Secret Window is a 2004 psychological thriller film, based on a Stephen King novella and starring Johnny Depp as a troubled writer confronted by a mysterious stranger accusing him of plagiarism.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e10f60c81908ee9636e85c070ff completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8da5908190aab069dc9b74b083 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f7cf47d05481909b06b37ac1ed5427 completed May 3, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69f7cfee80a881909de648b20043bf6d completed May 3, 2026, 10:45 p.m.
Created at: April 9, 2026, 10:17 p.m.