Triple

T7519144
Position Surface form Disambiguated ID Type / Status
Subject Aburrá Valley E177722 entity
Predicate contains P35 FINISHED
Object La Estrella
La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
 E671186 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: La Estrella | Statement: [Aburrá Valley, contains, La Estrella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Estrella
Context triple: [Aburrá Valley, contains, La Estrella]
  • A. La Estrella
    La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
  • B. La Estrella
    La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
  • C. The Star
    The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
  • D. The Star
    The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
  • E. The Star
    The Star is a mixed-use development in Frisco, Texas that serves as the Dallas Cowboys’ headquarters and practice facility, surrounded by retail, dining, and entertainment venues.
  • 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: La Estrella
Triple: [Aburrá Valley, contains, La Estrella]
Generated description
La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Estrella
Target entity description: La Estrella is a municipality in the Antioquia department of Colombia, located in the metropolitan area of Medellín within the Aburrá Valley.
  • A. La Estrella
    La Estrella is a small locality in Chile’s Cardenal Caro Province, within the O'Higgins Region.
  • B. La Estrella
    La Estrella is a rural municipality and town in central Chile’s Colchagua Province, known for its agricultural activities and traditional countryside character.
  • C. The Star
    The Star was a late 19th-century London evening newspaper known for its sensational and often moralistic coverage of crime and scandal.
  • D. The Star
    The Star is the English title of Surah An-Najm, a chapter of the Qur’an that emphasizes the divine origin of revelation and the authority of the Prophet Muhammad.
  • E. The Star
    The Star is a mixed-use development in Frisco, Texas that serves as the Dallas Cowboys’ headquarters and practice facility, surrounded by retail, dining, and entertainment venues.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f850c081909e697219071293fc completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ef834608190bf425f99222a4bc5 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c85119c2f08190ba9a0ddecb312497 completed March 28, 2026, 10:07 p.m.
NED2 Entity disambiguation (via description) batch_69c8519d6bcc81908a0b04e3a683efb4 completed March 28, 2026, 10:09 p.m.
Created at: March 27, 2026, 3:46 p.m.