Triple
T18301862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRSAD |
E438375
|
entity |
| Predicate | nomenDefinition |
P105366
|
FINISHED |
| Object | any sign or sequence of signs by which a thema is known |
—
|
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: any sign or sequence of signs by which a thema is known | Statement: [FRSAD, nomenDefinition, any sign or sequence of signs by which a thema is known]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nomenDefinition Context triple: [FRSAD, nomenDefinition, any sign or sequence of signs by which a thema is known]
-
A.
nounFormOf
Indicates that one term is the noun form derived from, or corresponding to, another term (typically a verb or adjective).
-
B.
wordDefinition
chosen
Indicates that one entity provides the meaning or explanation of a word represented by the other entity.
-
C.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
D.
oniMeaning
Indicates that one entity expresses or conveys the meaning or sense of another entity (such as a word, phrase, or symbol).
-
E.
onomasticType
Indicates the specific kind or category of a name (e.g., personal, place, or other name type) that characterizes the naming relationship.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50180ac48819090e9a8f11ba10c3d |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.