Triple
T9359532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ΦΒΚ |
E225241
|
entity |
| Predicate | mottoMeaningInEnglish |
P26346
|
FINISHED |
| Object | Love of learning is the guide of life |
—
|
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: Love of learning is the guide of life | Statement: [ΦΒΚ, mottoMeaningInEnglish, Love of learning is the guide of life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoMeaningInEnglish Context triple: [ΦΒΚ, mottoMeaningInEnglish, Love of learning is the guide of life]
-
A.
mottoInterpretation
chosen
Indicates the explanatory relationship between a motto and its intended meaning or message.
-
B.
mottoTransliteration
Indicates the representation of a motto’s original text using the characters of another writing system (its transliteration).
-
C.
translationOfMotto
Indicates that one motto is a translation of another motto in a different language.
-
D.
mottoOriginalLanguage
Indicates the language in which a motto was originally formulated or expressed.
-
E.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff2ca9081908ccc88651640ed84 |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.