Triple

T12066096
Position Surface form Disambiguated ID Type / Status
Subject Gurabo, Puerto Rico E287298 entity
Predicate hasDemonym P191 FINISHED
Object Gurabeña
Gurabeña is the Spanish term for a female resident or native of the municipality of Gurabo in Puerto Rico.
 E963199 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: Gurabeña | Statement: [Gurabo, Puerto Rico, hasDemonym, Gurabeña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gurabeña
Context triple: [Gurabo, Puerto Rico, hasDemonym, Gurabeña]
  • A. Chukchucha
    Chukchucha is a village-level settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • B. Guagua
    Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
  • C. Jipijapa
    Jipijapa is a city in coastal Ecuador known historically for its production of Panama hats and its agricultural economy.
  • D. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • E. Candanchú
    Candanchú is a historic ski resort in the Spanish Pyrenees, known for its alpine terrain and proximity to the French border.
  • 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: Gurabeña
Triple: [Gurabo, Puerto Rico, hasDemonym, Gurabeña]
Generated description
Gurabeña is the Spanish term for a female resident or native of the municipality of Gurabo in Puerto Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gurabeña
Target entity description: Gurabeña is the Spanish term for a female resident or native of the municipality of Gurabo in Puerto Rico.
  • A. Chukchucha
    Chukchucha is a village-level settlement located on Car Nicobar Island in the Nicobar district of India’s Andaman and Nicobar Islands.
  • B. Guagua
    Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
  • C. Jipijapa
    Jipijapa is a city in coastal Ecuador known historically for its production of Panama hats and its agricultural economy.
  • D. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • E. Candanchú
    Candanchú is a historic ski resort in the Spanish Pyrenees, known for its alpine terrain and proximity to the French border.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f658bb38819097547d392fcc5405 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fde880f4819094b2170bf4e82138 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc2cfd08190b87eccd3a73afc77 completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:48 p.m.