Triple
T28224268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fondation Corboud |
E711542
|
entity |
| Predicate | hasDonatedCollectionTo |
P169580
|
FINISHED |
| Object | Wallraf-Richartz Museum |
—
|
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: Wallraf-Richartz Museum | Statement: [Fondation Corboud, hasDonatedCollectionTo, Wallraf-Richartz Museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDonatedCollectionTo Context triple: [Fondation Corboud, hasDonatedCollectionTo, Wallraf-Richartz Museum]
-
A.
donatedWith
Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
-
B.
hasDonationsDirected
Indicates that donations are purposefully allocated or directed from one entity to another or toward a specific target or cause.
-
C.
hasContributionFrom
Indicates that something (such as a work, project, or outcome) is created, influenced, or supported in part by a specified contributor.
-
D.
hasCollectionDedicatedTo
Indicates that one entity maintains a collection specifically devoted or dedicated to another entity.
-
E.
hasDonorModel
Indicates that an entity is associated with a specific donor model from which it is derived or based.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f67fc237608190b6542b56038a7fe4 |
completed | May 2, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f0353c88190a05b2db449abe0f4 |
completed | May 2, 2026, 10:47 p.m. |
Created at: April 27, 2026, 10:49 p.m.