Triple
T37554395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judgement Legplates |
E933659
|
entity |
| Predicate | iconAssociation |
P30078
|
FINISHED |
| Object | classic Judgement set iconography |
—
|
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: classic Judgement set iconography | Statement: [Judgement Legplates, iconAssociation, classic Judgement set iconography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iconAssociation Context triple: [Judgement Legplates, iconAssociation, classic Judgement set iconography]
-
A.
iconOf
chosen
Indicates that one entity serves as a symbolic or representative image or emblem of another entity.
-
B.
fileAssociation
Indicates a relationship where one file is linked, associated, or otherwise related to another file or resource, typically for reference, dependency, or organizational purposes.
-
C.
iconLabel
Indicates that a textual label or caption is associated with a specific icon.
-
D.
mediaTypeAssociation
Indicates an association between an entity and a specific type or category of media with which it is related or represented.
-
E.
functionAssociation
Indicates that one entity is associated with, implements, or is linked to a particular function or functional role of another entity.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.