Triple
T2980914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleph |
E80506
|
entity |
| Predicate | hasGematriaCategory |
P4426
|
FINISHED |
| Object | units |
—
|
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: units | Statement: [Aleph, hasGematriaCategory, units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGematriaCategory Context triple: [Aleph, hasGematriaCategory, units]
-
A.
hasNumberCategory
chosen
Indicates that an entity is associated with a specific numerical classification or type.
-
B.
hasFrequencyCategory
Indicates that something is associated with a particular classification of how often it occurs or is used.
-
C.
hasSpecialCategory
Indicates that an entity is associated with a designated special or exceptional category distinct from its standard classifications.
-
D.
hasCategoryLevel
Indicates that something is associated with a specific hierarchical category or tier within a classification system.
-
E.
hasRankCategory
Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999e91788190a2d430dd0600a660 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.