Triple

T30904942
Position Surface form Disambiguated ID Type / Status
Subject Saint-Martin-de-Varreville E787271 entity
Predicate hasLocalChurch P15000 FINISHED
Object church of Saint-Martin
The church of Saint-Martin is a historic parish church serving the small coastal commune of Saint-Martin-de-Varreville in Normandy, France.
 E1939893 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: church of Saint-Martin | Statement: [Saint-Martin-de-Varreville, hasLocalChurch, church of Saint-Martin]
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 Saint-Martin
Triple: [Saint-Martin-de-Varreville, hasLocalChurch, church of Saint-Martin]
Generated description
The church of Saint-Martin is a historic parish church serving the small coastal commune of Saint-Martin-de-Varreville in Normandy, France.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLocalChurch
Context triple: [Saint-Martin-de-Varreville, hasLocalChurch, church of Saint-Martin]
  • A. hasChurch chosen
    Indicates that a place or entity possesses, contains, or is associated with a church.
  • B. hasCongregation
    Indicates that an entity is associated with or serves as the gathering place or organized group of worshippers for a religious community.
  • C. hasChurchType
    Indicates that one entity (typically a church) is classified as being of a particular church type or category.
  • D. 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.
  • E. hasMemberChurch
    Indicates that a particular church is a constituent member of a larger religious organization, denomination, or church body.
  • 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_69f224bcbcb48190836df847424e4057 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd509e6bc08190b263923c2f40fea3 completed May 8, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28fba07ed8819096aa282c77c559b8 completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28fcc827048190b461e0a477a0c3bf completed June 10, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_6a28fd3b66108190b86217163a2e4e11 completed June 10, 2026, 5:59 a.m.
PD Predicate disambiguation batch_69fd4fd1a58881909d4b84de1b24e380 completed May 8, 2026, 2:52 a.m.
Created at: April 29, 2026, 8:50 p.m.