Triple

T11592962
Position Surface form Disambiguated ID Type / Status
Subject Toa Baja E274929 entity
Predicate hasBarrio P4813 FINISHED
Object Campanilla
Campanilla is a barrio (district) of the municipality of Toa Baja in Puerto Rico, functioning as one of its local residential and administrative communities.
 E934272 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: Campanilla | Statement: [Toa Baja, hasBarrio, Campanilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Campanilla
Context triple: [Toa Baja, hasBarrio, Campanilla]
  • A. Bañuela
    Bañuela is the highest peak in Spain’s Sierra Morena mountain range, located in the southern part of the Iberian Peninsula.
  • B. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • C. Camuñas
    Camuñas is a Spanish surname of likely toponymic origin, associated with individuals such as politician Ignacio Camuñas.
  • D. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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: Campanilla
Triple: [Toa Baja, hasBarrio, Campanilla]
Generated description
Campanilla is a barrio (district) of the municipality of Toa Baja in Puerto Rico, functioning as one of its local residential and administrative communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Campanilla
Target entity description: Campanilla is a barrio (district) of the municipality of Toa Baja in Puerto Rico, functioning as one of its local residential and administrative communities.
  • A. Bañuela
    Bañuela is the highest peak in Spain’s Sierra Morena mountain range, located in the southern part of the Iberian Peninsula.
  • B. Tagüeña
    Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
  • C. Camuñas
    Camuñas is a Spanish surname of likely toponymic origin, associated with individuals such as politician Ignacio Camuñas.
  • D. Frasqueira
    Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
  • E. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946594348190935106132fd18028 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7146fdd8c8190a54f3290e155e900 completed April 21, 2026, 6:08 a.m.
NEDg Description generation batch_69e720fc0f38819083bd15169f2ce4bb completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72353c19c8190b7a579e9af823872 completed April 21, 2026, 7:12 a.m.
Created at: April 8, 2026, 9:38 p.m.