Triple

T15270965
Position Surface form Disambiguated ID Type / Status
Subject Carabobo E365018 entity
Predicate borderedBy P224 FINISHED
Object Falcón
Falcón is a coastal state in northwestern Venezuela known for its desert landscapes, beaches, and the Médanos de Coro National Park.
 E1148784 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: Falcón | Statement: [Carabobo, borderedBy, Falcón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Falcón
Context triple: [Carabobo, borderedBy, Falcón]
  • A. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • B. Vásquez
    Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
  • C. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • D. Aparicio
    Aparicio is a Spanish-language surname borne by various notable individuals across fields such as film, sports, and politics.
  • E. Gonzalve
    Gonzalve is a poetic, romantic tenor character in Maurice Ravel’s one-act opera "L’heure espagnole," known for his flowery declarations of love.
  • 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: Falcón
Triple: [Carabobo, borderedBy, Falcón]
Generated description
Falcón is a coastal state in northwestern Venezuela known for its desert landscapes, beaches, and the Médanos de Coro National Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Falcón
Target entity description: Falcón is a coastal state in northwestern Venezuela known for its desert landscapes, beaches, and the Médanos de Coro National Park.
  • A. Velasco
    Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
  • B. Vásquez
    Vásquez is a Spanish-language surname common in Latin America and Spain, borne by numerous notable figures in sports, politics, and the arts.
  • C. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • D. Aparicio
    Aparicio is a Spanish-language surname borne by various notable individuals across fields such as film, sports, and politics.
  • E. Gonzalve
    Gonzalve is a poetic, romantic tenor character in Maurice Ravel’s one-act opera "L’heure espagnole," known for his flowery declarations of love.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094eac848190a1740ae1aa6b28e0 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef7186d481909067f8088f3ea497 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef3374a34819094e0a4ac7bf89059 completed May 9, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_69fef41c898881908ed3520643918445 completed May 9, 2026, 8:45 a.m.
Created at: April 10, 2026, 3:14 a.m.