Triple

T26466313
Position Surface form Disambiguated ID Type / Status
Subject Nueva Segovia de Barquisimeto E665774 entity
Predicate region P40 FINISHED
Object Central-Western Venezuela
Central-Western Venezuela is a geographic region of Venezuela that encompasses several states in the central and western part of the country, known for its colonial cities, agricultural production, and cultural traditions.
E1726310 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-Western Venezuela | Statement: [Nueva Segovia de Barquisimeto, region, Central-Western 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-Western Venezuela
Triple: [Nueva Segovia de Barquisimeto, region, Central-Western Venezuela]
Generated description
Central-Western Venezuela is a geographic region of Venezuela that encompasses several states in the central and western part of the country, known for its colonial cities, agricultural production, and cultural traditions.

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_69ee883e812c8190a9b5a9cdb87fee5e completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f612996ea48190913110dfba86cdbd completed May 2, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11aedfb69c8190bab57dc8555a3dec completed May 23, 2026, 1:42 p.m.
NEDg Description generation batch_6a11af83d0308190ae6ee76d18a591df completed May 23, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_6a11b02a01f4819088f0f84f9ca335af completed May 23, 2026, 1:48 p.m.
Created at: April 27, 2026, 12:16 a.m.