Triple

T851644
Position Surface form Disambiguated ID Type / Status
Subject Biobío Region E18398 entity
Predicate containsCity P294 FINISHED
Object Yumbel
Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
 E107722 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: Yumbel | Statement: [Biobío Region, containsCity, Yumbel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yumbel
Context triple: [Biobío Region, containsCity, Yumbel]
  • A. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • B. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • C. Jaqaru
    Jaqaru is an indigenous Aymaran language spoken in the highlands of Peru, known for its complex phonology and close relationship to the Kawki variety.
  • D. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • E. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • 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: Yumbel
Triple: [Biobío Region, containsCity, Yumbel]
Generated description
Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yumbel
Target entity description: Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • A. Zipaquirá
    Zipaquirá is a historic Colombian city famed for its underground Salt Cathedral and colonial architecture, located north of Bogotá.
  • B. Huaral
    Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
  • C. Jaqaru
    Jaqaru is an indigenous Aymaran language spoken in the highlands of Peru, known for its complex phonology and close relationship to the Kawki variety.
  • D. Yucay
    Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
  • E. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac22de288190913714d41e5a8e12 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf53ee748190b5a08bd7a6d0614c completed March 4, 2026, 6:21 a.m.
NEDg Description generation batch_69a7cfbf8cf08190b41d4e322e1bc61c completed March 4, 2026, 6:22 a.m.
NED2 Entity disambiguation (via description) batch_69a7d01bd97081909d176e8fbb096859 completed March 4, 2026, 6:24 a.m.
Created at: March 1, 2026, 7:38 p.m.