Triple
T31959822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nortia |
E816004
|
entity |
| Predicate | symbolismOfNail |
P174968
|
FINISHED |
| Object | fixing of fate |
—
|
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: fixing of fate | Statement: [Nortia, symbolismOfNail, fixing of fate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolismOfNail Context triple: [Nortia, symbolismOfNail, fixing of fate]
-
A.
eyeSymbolism
Indicates the use of eyes or eye-related imagery to symbolically represent deeper meanings, concepts, or themes in a context.
-
B.
rightHandSymbolism
Indicates the symbolic meanings, associations, or cultural significance attributed to the right hand in a given context.
-
C.
shapeSymbolism
Indicates how a particular shape is associated with or conveys symbolic meaning within a given context.
-
D.
typicalMaterialSymbolism
Indicates that a material is commonly or characteristically used to symbolize or represent something in a given cultural or contextual setting.
-
E.
symbolismIn
Indicates that one entity functions as a symbol or representation within the context, meaning, or interpretive framework of 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: May 1, 2026, 12:08 a.m.