Triple
T5854253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie |
E130110
|
entity |
| Predicate | meaningOfRootWord |
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: [Sophie, meaningOfRootWord, wisdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfRootWord Context triple: [Sophie, meaningOfRootWord, wisdom]
-
A.
etymologicalRootMeaning
Indicates that one term’s meaning originates from or is derived from the historical or original meaning of another term.
-
B.
semanticRootMeaning
chosen
Indicates the fundamental or core meaning that underlies a word, phrase, or expression in a semantic structure.
-
C.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
D.
meaningOfWord3
Indicates that one entity specifies or defines the sense or interpretation of a third word or term.
-
E.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:55 p.m.