Triple
T26254912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T : z ↦ z + 1 |
E656690
|
entity |
| Predicate | isTranslationBy |
P161274
|
FINISHED |
| Object | 1 along the real axis |
—
|
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: 1 along the real axis | Statement: [T : z ↦ z + 1, isTranslationBy, 1 along the real axis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTranslationBy Context triple: [T : z ↦ z + 1, isTranslationBy, 1 along the real axis]
-
A.
isTranslatedBy
Indicates that one entity serves as the translator or translating agent responsible for rendering the content of another entity into a different language or form.
-
B.
canTranslateAlong
Indicates that one entity is able to be moved or shifted along the path, direction, or frame of reference defined by another entity.
-
C.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
D.
canTranslateBetween
Indicates that an entity has the ability to translate or convert information accurately between two specified languages, formats, or representation systems.
-
E.
seeTranslatedBy
Indicates that one entity is perceived or visually recognized by another entity through a translated or mediated representation (such as subtitles, dubbing, or other translation mechanisms).
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 26, 2026, 9:08 p.m.