Triple

T8041846
Position Surface form Disambiguated ID Type / Status
Subject Osuna reliefs E187458 entity
Predicate locatedIn P40 FINISHED
Object Osuna
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
 E717815 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: Osuna | Statement: [Osuna reliefs, locatedIn, Osuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Osuna
Context triple: [Osuna reliefs, locatedIn, Osuna]
  • A. Cardeñosa
    Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
  • B. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • C. Vacqueyras
    Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
  • D. Alagón
    Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
  • E. Alagón
    Alagón is a river in western Spain that flows through the Extremadura region before joining the Tagus River.
  • 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: Osuna
Triple: [Osuna reliefs, locatedIn, Osuna]
Generated description
Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Osuna
Target entity description: Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • A. Cardeñosa
    Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
  • B. Churriana
    Churriana is a district of Málaga in southern Spain, known for encompassing the area around Málaga–Costa del Sol Airport and lying close to the Mediterranean coast.
  • C. Vacqueyras
    Vacqueyras is a renowned southern Rhône wine appellation in France known for its robust red wines primarily based on Grenache, Syrah, and Mourvèdre.
  • D. Alagón
    Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
  • E. Alagón
    Alagón is a river in western Spain that flows through the Extremadura region before joining the Tagus River.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f1e98508190a29a7bb5055f8ba0 completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccecd365ac8190bcc156e3b7597d56 completed April 1, 2026, 10 a.m.
NEDg Description generation batch_69ccf0982f4481908e2a59424fdf470f completed April 1, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69cd051913708190a83f925cf0cbbaa1 completed April 1, 2026, 11:44 a.m.
Created at: March 30, 2026, 5:23 p.m.