Triple
T22251665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophina |
E549994
|
entity |
| Predicate | hasMeaningRoot |
P28428
|
FINISHED |
| Object | wisdom |
—
|
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: wisdom | Statement: [Sophina, hasMeaningRoot, wisdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeaningRoot Context triple: [Sophina, hasMeaningRoot, wisdom]
-
A.
hasRootWord
Indicates that one linguistic form is derived from, based on, or directly associated with a specified root word.
-
B.
semanticRootMeaning
chosen
Indicates the fundamental or core meaning that underlies a word, phrase, or expression in a semantic structure.
-
C.
hasMeaningCategory
Indicates that something is associated with a particular category of meaning or semantic type.
-
D.
hasPrefixMeaning
Indicates that one entity serves as a semantic prefix of another, contributing a specific meaning to the start of the second entity.
-
E.
hasMultipleMeanings
Indicates that a term, symbol, or expression is associated with more than one distinct meaning or interpretation.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138befa208190877760dec1896740 |
completed | April 28, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
Created at: April 16, 2026, 8:39 p.m.