Triple

T13446461
Position Surface form Disambiguated ID Type / Status
Subject Molina E320497 entity
Predicate hasVariant P455 FINISHED
Object De Molina
De Molina is a variant form of the surname Molina, commonly found in Spanish-speaking regions.
E1041058 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: De Molina | Statement: [Molina, hasVariant, De Molina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Molina
Context triple: [Molina, hasVariant, De Molina]
  • A. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • B. La Molina
    La Molina is an affluent residential and educational district located in the eastern part of Lima, Peru.
  • C. Cifuentes
    Cifuentes is a municipality in central Cuba known for its agricultural activities and location within Villa Clara Province.
  • D. Coslada
    Coslada is a municipality in the Community of Madrid, Spain, known as an important residential and industrial suburb located east of the capital.
  • E. Los Molinos
    Los Molinos is a small unincorporated rural community in Northern California known for its agricultural surroundings and location in Tehama County.
  • 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: De Molina
Triple: [Molina, hasVariant, De Molina]
Generated description
De Molina is a variant form of the surname Molina, commonly found in Spanish-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De Molina
Target entity description: De Molina is a variant form of the surname Molina, commonly found in Spanish-speaking regions.
  • A. Rivas
    Rivas is a city in southwestern Nicaragua known as a regional commercial center and gateway between Lake Nicaragua and the Pacific coast.
  • B. La Molina
    La Molina is an affluent residential and educational district located in the eastern part of Lima, Peru.
  • C. Cifuentes
    Cifuentes is a municipality in central Cuba known for its agricultural activities and location within Villa Clara Province.
  • D. Coslada
    Coslada is a municipality in the Community of Madrid, Spain, known as an important residential and industrial suburb located east of the capital.
  • E. Los Molinos
    Los Molinos is a small unincorporated rural community in Northern California known for its agricultural surroundings and location in Tehama County.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef5f610819092cad33ef72075ff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73998221c8190a2d8982a3da28ec9 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73a598c6c81908420b00b665e3b08 completed May 3, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69f73e0e598c8190b030a45e658a5055 completed May 3, 2026, 12:22 p.m.
Created at: April 9, 2026, 9:40 p.m.