Triple

T4743835
Position Surface form Disambiguated ID Type / Status
Subject Cardenal Caro Province E105312 entity
Predicate contains P35 FINISHED
Object Paredones
Paredones is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character.
 E465756 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: Paredones | Statement: [Cardenal Caro Province, contains, Paredones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paredones
Context triple: [Cardenal Caro Province, contains, Paredones]
  • A. Las Piedras
    Las Piedras is a municipality in eastern Puerto Rico known for its suburban communities and proximity to the island’s metropolitan area.
  • B. Muros
    Muros is a small town in the historical Logudoro region of northern Sardinia, Italy, known for its rural character and proximity to Sassari.
  • C. La Payunia
    La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
  • D. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • E. Contadero
    Contadero is a residential and commercial neighborhood in the Cuajimalpa de Morelos borough of western Mexico City, known for its proximity to the Santa Fe business district and surrounding green areas.
  • 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: Paredones
Triple: [Cardenal Caro Province, contains, Paredones]
Generated description
Paredones is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paredones
Target entity description: Paredones is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character.
  • A. Las Piedras
    Las Piedras is a municipality in eastern Puerto Rico known for its suburban communities and proximity to the island’s metropolitan area.
  • B. Muros
    Muros is a small town in the historical Logudoro region of northern Sardinia, Italy, known for its rural character and proximity to Sassari.
  • C. La Payunia
    La Payunia is an extensive volcanic field in Argentina renowned for its numerous cinder cones, lava flows, and striking black volcanic landscapes.
  • D. Mogotón
    Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
  • E. Contadero
    Contadero is a residential and commercial neighborhood in the Cuajimalpa de Morelos borough of western Mexico City, known for its proximity to the Santa Fe business district and surrounding green areas.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a85e9c81908e9c7bbbb998953e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a37a77881909d32027f1ada99c5 completed March 21, 2026, 6:27 a.m.
NEDg Description generation batch_69be3b11371081908c028d7a1376f473 completed March 21, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_69be3b8c77f88190aac16b6941fb5df7 completed March 21, 2026, 6:32 a.m.
Created at: March 20, 2026, 1:19 p.m.