Triple
T27360439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of Saint-Barthélemy, Liège |
E685805
|
entity |
| Predicate | baptismalFontArtist |
P162647
|
FINISHED |
| Object | Renier de Huy |
—
|
NE NERFINISHED |
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: Renier de Huy | Statement: [Basilica of Saint-Barthélemy, Liège, baptismalFontArtist, Renier de Huy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baptismalFontArtist Context triple: [Basilica of Saint-Barthélemy, Liège, baptismalFontArtist, Renier de Huy]
-
A.
baptismalFontUsedFor
Indicates that a particular baptismal font is used to perform or conduct a specific baptism or set of baptisms.
-
B.
hasBaptismalFont
Indicates that a place or structure contains or is equipped with a baptismal font used for performing baptisms.
-
C.
baptismName
Indicates the name an individual receives or uses specifically in the context of a baptism ceremony.
-
D.
baptismAssociatedWith
Indicates a relationship in which an entity is connected or related to a baptism event, such as by participation, performance, location, or contextual association.
-
E.
christenedBy
Indicates that an entity received its name or was formally dedicated through a christening performed by another entity.
- F. None of above. chosen
Provenance (4 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62cd1912c8190ab3f3288442115a4 |
completed | May 2, 2026, 4:56 p.m. |
Created at: April 27, 2026, 11:53 a.m.