Triple

T3111778
Position Surface form Disambiguated ID Type / Status
Subject Los Ríos Province E64967 entity
Predicate containsCity P294 FINISHED
Object Vinces
Vinces is a small town and canton seat in Ecuador’s Los Ríos Province, known for its agricultural surroundings and riverside setting.
 E327518 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: Vinces | Statement: [Los Ríos Province, containsCity, Vinces]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vinces
Context triple: [Los Ríos Province, containsCity, Vinces]
  • A. Vence
    Vence is a picturesque hilltop town in the Alpes-Maritimes region of southeastern France, renowned for its medieval old town and its association with modern artists and writers.
  • B. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • C. Vincenzo
    Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
  • D. Iron Felix
    Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
  • E. Valter
    Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
  • 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: Vinces
Triple: [Los Ríos Province, containsCity, Vinces]
Generated description
Vinces is a small town and canton seat in Ecuador’s Los Ríos Province, known for its agricultural surroundings and riverside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vinces
Target entity description: Vinces is a small town and canton seat in Ecuador’s Los Ríos Province, known for its agricultural surroundings and riverside setting.
  • A. Vence
    Vence is a picturesque hilltop town in the Alpes-Maritimes region of southeastern France, renowned for its medieval old town and its association with modern artists and writers.
  • B. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • C. Vincenzo
    Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
  • D. Iron Felix
    Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
  • E. Valter
    Valter is a masculine given name used in various European countries, generally equivalent to the English name Walter.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43b0b3c8190a828c9cfcf730ed9 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20397cbdc8190abdd93b502f9577f completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b204a8c5348190a2cb102b08fd6fa5 completed March 12, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69b205bdf5c881908bc6ef7c3c30df65 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:04 p.m.