Triple

T6781931
Position Surface form Disambiguated ID Type / Status
Subject Lake Enriquillo E155702 entity
Predicate namedAfter P63 FINISHED
Object Enriquillo
Enriquillo was a Taíno cacique (indigenous leader) on Hispaniola who led a notable early 16th-century rebellion against Spanish colonial rule.
 E618500 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: Enriquillo | Statement: [Lake Enriquillo, namedAfter, Enriquillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enriquillo
Context triple: [Lake Enriquillo, namedAfter, Enriquillo]
  • A. Cayetano
    Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
  • B. Tingo María
    Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
  • C. Gamboa
    Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
  • D. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • E. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • 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: Enriquillo
Triple: [Lake Enriquillo, namedAfter, Enriquillo]
Generated description
Enriquillo was a Taíno cacique (indigenous leader) on Hispaniola who led a notable early 16th-century rebellion against Spanish colonial rule.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enriquillo
Target entity description: Enriquillo was a Taíno cacique (indigenous leader) on Hispaniola who led a notable early 16th-century rebellion against Spanish colonial rule.
  • A. Cayetano
    Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
  • B. Tingo María
    Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
  • C. Gamboa
    Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
  • D. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • E. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26c621c8190a6eddc0d395e13e4 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712d27a388190ab44e6e754019fca completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c714d7fad881909efac3b422d89d58 completed March 27, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69c71532a18881909b2cb43c17652f57 completed March 27, 2026, 11:39 p.m.
Created at: March 27, 2026, 2:14 p.m.