Triple
T8932205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LRD |
E212682
|
entity |
| Predicate | symbolVariant |
P86253
|
FINISHED |
| Object | L$ |
—
|
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: L$ | Statement: [LRD, symbolVariant, L$]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolVariant Context triple: [LRD, symbolVariant, L$]
-
A.
iconographicVariant
Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
-
B.
iconographicVariantOf
Indicates that one representation is an alternative visual or stylistic depiction of the same subject as another representation.
-
C.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
-
D.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
-
E.
symbolDesigned
Indicates that one entity created or planned the design of a symbolic representation (such as a logo, icon, or emblem) for another entity.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc668e5c108190b08f9cd6b4fd4a8b |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed3286c8190a21de2ee11f2639f |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc608331f88190bcb500ff63527f8a |
completed | April 1, 2026, 12:02 a.m. |
Created at: March 30, 2026, 6:57 p.m.