Triple

T27183085
Position Surface form Disambiguated ID Type / Status
Subject Universidad de Carabobo – Núcleo La Morita E683248 entity
Predicate regionServed P82 FINISHED
Object central Venezuela
Central Venezuela is a geographic region of the country encompassing key inland states and urban centers, including areas such as Carabobo and Aragua, that form part of Venezuela’s political, economic, and educational core.
E1761673 NE FINISHED

How this triple was built (2 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: central Venezuela | Statement: [Universidad de Carabobo – Núcleo La Morita, regionServed, central Venezuela]
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: central Venezuela
Triple: [Universidad de Carabobo – Núcleo La Morita, regionServed, central Venezuela]
Generated description
Central Venezuela is a geographic region of the country encompassing key inland states and urban centers, including areas such as Carabobo and Aragua, that form part of Venezuela’s political, economic, and educational core.

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_69eefad140408190b8586fdebcf9af46 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6257e880c8190807ddb3d516a482c completed May 2, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12539046f88190a8919ecac6d47ae4 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a1254e770288190994c682cfe0f8c9d completed May 24, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a12558ffcd08190b9a167ead908e052 completed May 24, 2026, 1:34 a.m.
Created at: April 27, 2026, 9:29 a.m.