Triple

T4481542
Position Surface form Disambiguated ID Type / Status
Subject Ñuble E100145 entity
Predicate containsCity P294 FINISHED
Object Bulnes
Bulnes is a small Chilean city located in the Ñuble Region, known for its agricultural surroundings and rural character.
 E443798 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: Bulnes | Statement: [Ñuble, containsCity, Bulnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bulnes
Context triple: [Ñuble, containsCity, Bulnes]
  • A. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • B. Cuiva
    The Cuiva are an Indigenous people of the Colombian and Venezuelan Llanos, traditionally semi-nomadic hunter-gatherers known for their close relationship with the savanna environment and for facing significant pressures from land conflicts and colonization.
  • C. Aneto
    Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
  • D. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • E. Cosío
    Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
  • 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: Bulnes
Triple: [Ñuble, containsCity, Bulnes]
Generated description
Bulnes is a small Chilean city located in the Ñuble Region, known for its agricultural surroundings and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bulnes
Target entity description: Bulnes is a small Chilean city located in the Ñuble Region, known for its agricultural surroundings and rural character.
  • A. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • B. Cuiva
    The Cuiva are an Indigenous people of the Colombian and Venezuelan Llanos, traditionally semi-nomadic hunter-gatherers known for their close relationship with the savanna environment and for facing significant pressures from land conflicts and colonization.
  • C. Aneto
    Aneto is the tallest mountain in the Pyrenees, located in the Spanish province of Huesca and renowned for its glaciers and popular alpine climbing routes.
  • D. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • E. Cosío
    Cosío is a small municipality and town located in the northern part of the Mexican state of Aguascalientes.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dddd488190bd5dedd3c0e77247 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6377c694881909428b5cffb405c8d completed March 15, 2026, 4:37 a.m.
NEDg Description generation batch_69b6384b32c08190969a892ccc135b2f completed March 15, 2026, 4:40 a.m.
NED2 Entity disambiguation (via description) batch_69b63c3585b08190ab6837ffdb6db73e completed March 15, 2026, 4:57 a.m.
Created at: March 12, 2026, 11:36 p.m.