Triple
T38243512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont Samson |
E1013831
|
entity |
| Predicate | dessert |
P190204
|
FINISHED |
| Object | quartiers centraux de Bayeux |
—
|
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: quartiers centraux de Bayeux | Statement: [Pont Samson, dessert, quartiers centraux de Bayeux]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dessert Context triple: [Pont Samson, dessert, quartiers centraux de Bayeux]
-
A.
hasDessert
Indicates that one entity is served, accompanied, or associated with a particular dessert item.
-
B.
signatureDessert
Indicates that a particular dessert is the distinctive or hallmark dessert specially associated with a given entity (such as a person, restaurant, or region).
-
C.
typicalFrosting
Indicates that something is the standard or commonly used type of frosting associated with a particular item or context.
-
D.
isCookedInDesserts
Indicates that something is prepared or used as an ingredient specifically in the making of desserts.
-
E.
pastryType
Indicates the specific kind or category of pastry that an item belongs to.
- 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_69f76dd7e89c8190b7866bc85aea521b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc330b4288190858b49d986160706 |
completed | May 7, 2026, 4:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.