Triple

T24816930
Position Surface form Disambiguated ID Type / Status
Subject Cardinal-Priest of San Matteo in Merulana E620948 entity
Predicate hasAssociatedChurch P13041 FINISHED
Object San Matteo in Merulana
San Matteo in Merulana was a former titular church in Rome historically assigned to a cardinal-priest in the Catholic Church.
 E1653034 NE FINISHED

How this triple was built (3 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: San Matteo in Merulana | Statement: [Cardinal-Priest of San Matteo in Merulana, hasAssociatedChurch, San Matteo in Merulana]
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: San Matteo in Merulana
Triple: [Cardinal-Priest of San Matteo in Merulana, hasAssociatedChurch, San Matteo in Merulana]
Generated description
San Matteo in Merulana was a former titular church in Rome historically assigned to a cardinal-priest in the Catholic Church.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasAssociatedChurch
Context triple: [Cardinal-Priest of San Matteo in Merulana, hasAssociatedChurch, San Matteo in Merulana]
  • A. hasParentChurch
    Indicates that a church or religious organization is institutionally subordinate to or derived from another church, which serves as its parent or overseeing body.
  • B. hasChurch
    Indicates that a place or entity possesses, contains, or is associated with a church.
  • C. associatedWithChurch chosen
    Indicates a relationship in which an entity has a connection, involvement, or affiliation with a church.
  • D. hasChurchType
    Indicates that one entity (typically a church) is classified as being of a particular church type or category.
  • E. hasCongregation
    Indicates that an entity is associated with or serves as the gathering place or organized group of worshippers for a religious community.
  • F. None of above.

Provenance (6 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_69e2fabfd4648190bd0e5c7f4dbb6cab completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f55e519978819087a1676564a74630 completed May 2, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c3e2aac8190b5eaf719e1923dd5 completed May 22, 2026, 9:05 a.m.
NEDg Description generation batch_6a1024aba7c88190a2d72c92bf9e5723 completed May 22, 2026, 9:40 a.m.
NED2 Entity disambiguation (via description) batch_6a102561fda081908fc03becd4d997ac completed May 22, 2026, 9:44 a.m.
PD Predicate disambiguation batch_69f4a0edd10c81908a052ab864d57c54 completed May 1, 2026, 12:47 p.m.
Created at: April 18, 2026, 5:03 a.m.