Triple
T27360453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of Saint-Barthélemy, Liège |
E685805
|
entity |
| Predicate | hasBaptismalFontDate |
P171424
|
FINISHED |
| Object | 12th century |
—
|
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: 12th century | Statement: [Basilica of Saint-Barthélemy, Liège, hasBaptismalFontDate, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaptismalFontDate Context triple: [Basilica of Saint-Barthélemy, Liège, hasBaptismalFontDate, 12th century]
-
A.
hasBaptismalFont
Indicates that a place or structure contains or is equipped with a baptismal font used for performing baptisms.
-
B.
baptismDate
Indicates the date on which an entity underwent or received the rite of baptism.
-
C.
baptismalFontUsedFor
Indicates that a particular baptismal font is used to perform or conduct a specific baptism or set of baptisms.
-
D.
baptismYear
Indicates the calendar year in which an entity’s baptism took place.
-
E.
baptismalFontArtist
Indicates that an entity is the artist or creator responsible for designing or making a particular baptismal font.
- 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_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 27, 2026, 11:53 a.m.