Triple
T6174894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo |
E137793
|
entity |
| Predicate | symbolUnicode |
P44419
|
FINISHED |
| Object | ♌ |
—
|
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: ♌ | Statement: [Leo, symbolUnicode, ♌]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolUnicode Context triple: [Leo, symbolUnicode, ♌]
-
A.
symbolDesigned
Indicates that one entity created or planned the design of a symbolic representation (such as a logo, icon, or emblem) for another entity.
-
B.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
-
C.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
-
D.
unicodeCodePoint
chosen
Indicates that a character or symbol is associated with a specific Unicode code point value in the Unicode standard.
-
E.
typicalSymbol
Indicates that something serves as a characteristic or commonly recognized symbol representing something else.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc55b5c819084482b735771c9a8 |
completed | March 22, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.