Triple

T7254631
Position Surface form Disambiguated ID Type / Status
Subject Carmen E157686 entity
Predicate contains P35 FINISHED
Object Barrio Aranjuez
Barrio Aranjuez is a neighborhood within the city of Carmen, known as one of its local residential districts.
E655669 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: Barrio Aranjuez | Statement: [Carmen, contains, Barrio Aranjuez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barrio Aranjuez
Context triple: [Carmen, contains, Barrio Aranjuez]
  • A. Barrio de las Cortes
    Barrio de las Cortes is a historic central neighborhood in Madrid, Spain, known for its political institutions, cultural landmarks, and vibrant urban life.
  • B. El Realejo
    El Realejo is a historic coastal town and former colonial port in northwestern Nicaragua.
  • C. Barrio del Puerto
    Barrio del Puerto is a Madrid Metro station on Line 7 serving the Barrio del Puerto neighborhood in the municipality of Coslada, within the Madrid metropolitan area.
  • D. Barrio Lastarria
    Barrio Lastarria is a historic and bohemian neighborhood in central Santiago, Chile, known for its cultural venues, restaurants, and vibrant street life.
  • E. Barrio de Niño Jesús
    Barrio de Niño Jesús is a residential neighborhood in Madrid, Spain, known for its proximity to the Retiro Park and its quiet, traditional urban character.
  • 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: Barrio Aranjuez
Triple: [Carmen, contains, Barrio Aranjuez]
Generated description
Barrio Aranjuez is a neighborhood within the city of Carmen, known as one of its local residential districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barrio Aranjuez
Target entity description: Barrio Aranjuez is a neighborhood within the city of Carmen, known as one of its local residential districts.
  • A. Barrio de las Cortes
    Barrio de las Cortes is a historic central neighborhood in Madrid, Spain, known for its political institutions, cultural landmarks, and vibrant urban life.
  • B. El Realejo
    El Realejo is a historic coastal town and former colonial port in northwestern Nicaragua.
  • C. Barrio del Puerto
    Barrio del Puerto is a Madrid Metro station on Line 7 serving the Barrio del Puerto neighborhood in the municipality of Coslada, within the Madrid metropolitan area.
  • D. Barrio Lastarria
    Barrio Lastarria is a historic and bohemian neighborhood in central Santiago, Chile, known for its cultural venues, restaurants, and vibrant street life.
  • E. Barrio de Niño Jesús
    Barrio de Niño Jesús is a residential neighborhood in Madrid, Spain, known for its proximity to the Retiro Park and its quiet, traditional urban character.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea9f55b4819081a43e7a01eda154 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e523149481909bbc7dd88046e8b0 completed March 28, 2026, 2:26 p.m.
NEDg Description generation batch_69c7e634d06c819097634bc46c4fb34a completed March 28, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_69c7e748e0308190b200acc781af5a92 completed March 28, 2026, 2:35 p.m.
Created at: March 27, 2026, 2:56 p.m.