Triple
T27463366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Landry of Paris |
E693111
|
entity |
| Predicate | mannerOfVeneration |
P5315
|
FINISHED |
| Object | local devotion in Paris |
—
|
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: local devotion in Paris | Statement: [Saint Landry of Paris, mannerOfVeneration, local devotion in Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mannerOfVeneration Context triple: [Saint Landry of Paris, mannerOfVeneration, local devotion in Paris]
-
A.
venerationType
chosen
Indicates the specific manner or category of reverence or worship directed toward an entity.
-
B.
basisOfVeneration
Indicates the reason, quality, or attribute for which something or someone is regarded with reverence or veneration.
-
C.
veneratedBy
Indicates that one entity is regarded with deep respect, reverence, or worship by another entity.
-
D.
isVeneratedAs
Indicates that one entity is regarded and honored by others as sacred, holy, or worthy of deep reverence.
-
E.
veneratedOn
Indicates that an entity is honored, revered, or celebrated on a specific date or occasion.
- 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 12:51 p.m.