Triple

T12710503
Position Surface form Disambiguated ID Type / Status
Subject Monastery of Santa Maria de Sijena E303703 entity
Predicate hasPart P35 FINISHED
Object church of Santa Maria de Sijena
The church of Santa Maria de Sijena is the principal Romanesque religious building within the historic Monastery of Santa Maria de Sijena in Aragon, Spain, notable for its medieval architecture and former rich artistic decoration.
E303703 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: church of Santa Maria de Sijena | Statement: [Monastery of Santa Maria de Sijena, hasPart, church of Santa Maria de Sijena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: church of Santa Maria de Sijena
Context triple: [Monastery of Santa Maria de Sijena, hasPart, church of Santa Maria de Sijena]
  • A. Monastery of Santa Maria de Sijena
    The Monastery of Santa Maria de Sijena is a historic royal Aragonese monastery in northeastern Spain, renowned as a medieval religious and cultural center and as the burial site of several members of the Crown of Aragon.
  • B. Church of Santa María
    The Church of Santa María is a historic Catholic church in Miranda de Ebro, Spain, notable for its medieval architecture and religious significance in the region.
  • C. Cathedral of Santa María
    The Cathedral of Santa María is a historic Gothic-style Roman Catholic cathedral in Vitoria-Gasteiz, Spain, renowned for its architectural significance and extensive restoration work.
  • D. Church of Santa María la Mayor
    The Church of Santa María la Mayor is a prominent historic Catholic church in Trujillo, Spain, noted for its medieval origins and significant architectural and artistic heritage.
  • E. Cathedral of Santa Maria la Nova
    The Cathedral of Santa Maria la Nova is a prominent Baroque-style Roman Catholic cathedral in Caltanissetta, Sicily, serving as the city’s main religious and architectural landmark.
  • 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: church of Santa Maria de Sijena
Triple: [Monastery of Santa Maria de Sijena, hasPart, church of Santa Maria de Sijena]
Generated description
The church of Santa Maria de Sijena is the principal Romanesque religious building within the historic Monastery of Santa Maria de Sijena in Aragon, Spain, notable for its medieval architecture and former rich artistic decoration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: church of Santa Maria de Sijena
Target entity description: The church of Santa Maria de Sijena is the principal Romanesque religious building within the historic Monastery of Santa Maria de Sijena in Aragon, Spain, notable for its medieval architecture and former rich artistic decoration.
  • A. Monastery of Santa Maria de Sijena chosen
    The Monastery of Santa Maria de Sijena is a historic royal Aragonese monastery in northeastern Spain, renowned as a medieval religious and cultural center and as the burial site of several members of the Crown of Aragon.
  • B. Church of Santa María
    The Church of Santa María is a historic Catholic church in Miranda de Ebro, Spain, notable for its medieval architecture and religious significance in the region.
  • C. Cathedral of Santa María
    The Cathedral of Santa María is a historic Gothic-style Roman Catholic cathedral in Vitoria-Gasteiz, Spain, renowned for its architectural significance and extensive restoration work.
  • D. Church of Santa María la Mayor
    The Church of Santa María la Mayor is a prominent historic Catholic church in Trujillo, Spain, noted for its medieval origins and significant architectural and artistic heritage.
  • E. Cathedral of Santa Maria la Nova
    The Cathedral of Santa Maria la Nova is a prominent Baroque-style Roman Catholic cathedral in Caltanissetta, Sicily, serving as the city’s main religious and architectural landmark.
  • F. None of above.

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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96207b2d881908314efc3e350aa78 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c802e248190865a6561ad1bf0b6 completed May 2, 2026, 10:36 p.m.
NEDg Description generation batch_69f67d64ed3481908d434c20796866f9 completed May 2, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69f67e82e35081909c4b5fad7e941610 completed May 2, 2026, 10:45 p.m.
Created at: April 9, 2026, 5:23 p.m.