Triple
T20879434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deathly Hallows symbol |
E514104
|
entity |
| Predicate | graphicForm |
P11599
|
FINISHED |
| Object | line inside a circle inside a triangle |
—
|
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: line inside a circle inside a triangle | Statement: [Deathly Hallows symbol, graphicForm, line inside a circle inside a triangle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicForm Context triple: [Deathly Hallows symbol, graphicForm, line inside a circle inside a triangle]
-
A.
visualForm
chosen
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
-
B.
givesForm
Indicates that one entity provides or supplies a form (such as a document, template, or structured format) to another entity.
-
C.
nativeForm
Indicates that one entity is the original or native linguistic form of another, such as a word’s form in its source language.
-
D.
typicalForm
Indicates that one entity represents the standard, characteristic, or most common form or shape in which another entity typically appears or is realized.
-
E.
graphics
Indicates a relationship where one entity is responsible for creating, providing, or handling visual representations or graphical content for another entity or context.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c678b394819096a17de9e04cd74f |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.