Triple
T4120176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Église Saint-Pierre-le-Jeune |
E92591
|
entity |
| Predicate | hasCloisterType |
P17704
|
FINISHED |
| Object | medieval cloister |
—
|
LITERAL FINISHED |
How this triple was built (2 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: medieval cloister | Statement: [Église Saint-Pierre-le-Jeune, hasCloisterType, medieval cloister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCloisterType Context triple: [Église Saint-Pierre-le-Jeune, hasCloisterType, medieval cloister]
-
A.
hasCloister
chosen
Indicates that one entity possesses or includes a cloister as part of its structure or layout.
-
B.
cloisterStyle
Indicates the architectural style or design characteristics of a cloister in relation to a building or site.
-
C.
hasCastleType
Indicates that an entity is associated with, characterized by, or classified as a specific type of castle.
-
D.
hasCeilingType
Indicates that an entity is associated with or characterized by a specific type of ceiling.
-
E.
hasEstateType
Indicates that an entity possesses or is associated with a particular category or type of estate.
- F. None of above.
Provenance (3 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0246e40081908ad6741a830ca68e |
completed | March 9, 2026, 5:24 p.m. |
| PD | Predicate disambiguation | batch_69af01867698819098e4144634b2ec4f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:41 p.m.