Triple
T10225353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liv |
E243189
|
entity |
| Predicate | meaningInModernScandinavianLanguages |
P92861
|
FINISHED |
| Object | 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: life | Statement: [Liv, meaningInModernScandinavianLanguages, life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningInModernScandinavianLanguages Context triple: [Liv, meaningInModernScandinavianLanguages, life]
-
A.
meaningInGerman
Indicates that one entity expresses the meaning or translation of another entity in the German language.
-
B.
ermenMeaning
Indicates that one entity represents or conveys the meaning or semantic interpretation of another entity.
-
C.
lettersMeaning
Indicates that a set of letters or characters represents, signifies, or conveys a particular meaning or message.
-
D.
duMeaning
Indicates that one entity expresses, conveys, or signifies a particular meaning or sense in relation to another.
-
E.
latinMeaning
Indicates that one entity expresses or specifies the meaning or translation of another entity in Latin.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d23a9c4c8190abece9e52879c479 |
completed | April 7, 2026, 9:45 a.m. |
Created at: April 6, 2026, 11:17 a.m.