Triple
T36148644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vierdaagsekruis with crown |
E1045521
|
entity |
| Predicate | ribbonAssociatedWith |
P184755
|
FINISHED |
| Object | Vierdaagsekruis |
—
|
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: Vierdaagsekruis | Statement: [Vierdaagsekruis with crown, ribbonAssociatedWith, Vierdaagsekruis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ribbonAssociatedWith Context triple: [Vierdaagsekruis with crown, ribbonAssociatedWith, Vierdaagsekruis]
-
A.
ribbonRepresents
Indicates that a ribbon symbolically stands for, signifies, or is used to represent something (such as a cause, concept, or affiliation).
-
B.
ribbonName
Indicates the specific name or label assigned to a ribbon within a system or context.
-
C.
ribbonType
Indicates the specific kind or category of ribbon associated with an entity.
-
D.
ribbonOnly
Indicates that the relationship or action applies exclusively to ribbon-related items or contexts, with no inclusion of other types.
-
E.
ribbonInscription
Indicates that a ribbon bears or displays a particular inscription or text.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b3e0f1c88190985feab6cee8b05e |
completed | May 3, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.