Triple

T6726239
Position Surface form Disambiguated ID Type / Status
Subject University of Granada E153524 entity
Predicate hasCampus P116 FINISHED
Object La Zubia
La Zubia is a municipality in the province of Granada, Spain, located near the city of Granada and integrated into its metropolitan area.
 E614626 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: La Zubia | Statement: [University of Granada, hasCampus, La Zubia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Zubia
Context triple: [University of Granada, hasCampus, La Zubia]
  • A. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • B. Cayetana
    Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
  • C. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • D. Carlota
    Carlota is the feminine given name corresponding to Carlos, commonly used in Spanish- and Portuguese-speaking cultures.
  • E. Atufal
    Atufal is a towering, imposing African slave in Herman Melville’s novella "Benito Cereno," whose silent presence and chains symbolize both resistance and the hidden tensions aboard the ship.
  • 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: La Zubia
Triple: [University of Granada, hasCampus, La Zubia]
Generated description
La Zubia is a municipality in the province of Granada, Spain, located near the city of Granada and integrated into its metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Zubia
Target entity description: La Zubia is a municipality in the province of Granada, Spain, located near the city of Granada and integrated into its metropolitan area.
  • A. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • B. Cayetana
    Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
  • C. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • D. Carlota
    Carlota is the feminine given name corresponding to Carlos, commonly used in Spanish- and Portuguese-speaking cultures.
  • E. Atufal
    Atufal is a towering, imposing African slave in Herman Melville’s novella "Benito Cereno," whose silent presence and chains symbolize both resistance and the hidden tensions aboard the ship.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d15131f08190aba6c00943c51331 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a5428c81908d4484c3e3734076 completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c707ca6b188190af9b17171b7d912c completed March 27, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69c708869b6c81909da4677d72c4edcd completed March 27, 2026, 10:45 p.m.
Created at: March 27, 2026, 2:08 p.m.