Triple

T21012568
Position Surface form Disambiguated ID Type / Status
Subject Humacao, Puerto Rico E517586 entity
Predicate hasBarrio P4813 FINISHED
Object Antón Ruíz
Antón Ruíz is a rural barrio (district) of the municipality of Humacao on the eastern coast of Puerto Rico.
E1493431 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: Antón Ruíz | Statement: [Humacao, Puerto Rico, hasBarrio, Antón Ruíz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antón Ruíz
Context triple: [Humacao, Puerto Rico, hasBarrio, Antón Ruíz]
  • A. Antón Martín
    Antón Martín is a Madrid Metro station located in the city center, serving the Lavapiés/Huertas area on Line 1.
  • B. Martiño Rivas
    Martiño Rivas is a Spanish actor best known for his prominent roles in popular Spanish television series and films.
  • C. Tomás Pliego
    Tomás Pliego is a film producer known for his work on the adventure-comedy movie "The Lost City."
  • D. Antonio Tabares
    Antonio Tabares is a contemporary Spanish playwright known for works such as the drama that inspired "The Tip of the Iceberg."
  • E. Alberto García
    Alberto García is a physicist known for co-developing the Ayón-Beato–García regular black hole solutions in general relativity.
  • 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: Antón Ruíz
Triple: [Humacao, Puerto Rico, hasBarrio, Antón Ruíz]
Generated description
Antón Ruíz is a rural barrio (district) of the municipality of Humacao on the eastern coast of Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Antón Ruíz
Target entity description: Antón Ruíz is a rural barrio (district) of the municipality of Humacao on the eastern coast of Puerto Rico.
  • A. Antón Martín
    Antón Martín is a Madrid Metro station located in the city center, serving the Lavapiés/Huertas area on Line 1.
  • B. Martiño Rivas
    Martiño Rivas is a Spanish actor best known for his prominent roles in popular Spanish television series and films.
  • C. Tomás Pliego
    Tomás Pliego is a film producer known for his work on the adventure-comedy movie "The Lost City."
  • D. Antonio Tabares
    Antonio Tabares is a contemporary Spanish playwright known for works such as the drama that inspired "The Tip of the Iceberg."
  • E. Alberto García
    Alberto García is a physicist known for co-developing the Ayón-Beato–García regular black hole solutions in general relativity.
  • 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_69e0b50192308190a284fcc89dd23a49 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc40f91c81908c9b6d99869de7aa completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f7d34508190b39de6cfde8f9d68 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a0ff1afb0819083d550f22a18dde7 completed May 17, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0a10537ccc8190a596e128746c6659 completed May 17, 2026, 7 p.m.
Created at: April 16, 2026, 1:53 p.m.