Triple

T15366252
Position Surface form Disambiguated ID Type / Status
Subject Western Venezuela E367420 entity
Predicate hasCity P316 FINISHED
Object Valera
Valera is a commercial and transportation hub city in the Andean region of western Venezuela, known as an important center for trade and services.
 E1153024 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: Valera | Statement: [Western Venezuela, hasCity, Valera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valera
Context triple: [Western Venezuela, hasCity, Valera]
  • A. Vova
    Vova is a common Russian diminutive form of the male given name Vladimir.
  • B. Valeri
    Valeri is the surname of Argentine former professional footballer Diego Valeri, best known as a creative midfielder and Portland Timbers legend in Major League Soccer.
  • C. Vitaly
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Valerii
    Valerii is a given name, primarily used in Slavic countries, that serves as a variant of the name Valery.
  • E. Danil
    Danil is a masculine given name, common in Slavic countries, that is a variant of Daniel and typically means "God is my judge."
  • 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: Valera
Triple: [Western Venezuela, hasCity, Valera]
Generated description
Valera is a commercial and transportation hub city in the Andean region of western Venezuela, known as an important center for trade and services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valera
Target entity description: Valera is a commercial and transportation hub city in the Andean region of western Venezuela, known as an important center for trade and services.
  • A. Vova
    Vova is a common Russian diminutive form of the male given name Vladimir.
  • B. Valeri
    Valeri is the surname of Argentine former professional footballer Diego Valeri, best known as a creative midfielder and Portland Timbers legend in Major League Soccer.
  • C. Vitaly
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Valerii
    Valerii is a given name, primarily used in Slavic countries, that serves as a variant of the name Valery.
  • E. Danil
    Danil is a masculine given name, common in Slavic countries, that is a variant of Daniel and typically means "God is my judge."
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e497de48190be249b110999ec5c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b4e968c8190a16824ee3ede13b2 completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0dc93af88190ae34fa3983aac820 completed May 9, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_69ff0e467a148190871cb8a2dc660e06 completed May 9, 2026, 10:36 a.m.
Created at: April 10, 2026, 3:18 a.m.