Triple
T640769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adar I |
E16733
|
entity |
| Predicate | hasNumericDesignation |
P4426
|
FINISHED |
| Object | month 12 in leap years |
—
|
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: month 12 in leap years | Statement: [Adar I, hasNumericDesignation, month 12 in leap years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumericDesignation Context triple: [Adar I, hasNumericDesignation, month 12 in leap years]
-
A.
hasLetterDesignation
Indicates that an entity is assigned or associated with a specific letter-based designation or code.
-
B.
hasDesignation
Indicates that an entity holds or is assigned a specific title, label, or formal designation.
-
C.
hasNumberCategory
chosen
Indicates that an entity is associated with a specific numerical classification or type.
-
D.
designatorType
Indicates the specific role or category of a designator used to identify or reference an entity within a system or context.
-
E.
hasPinCountDesignation
Indicates that an entity is assigned a specific designation describing the number of pins it has.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f0189b08190a584b744f36fa761 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0830008190a26ee158ed4dd1fe |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.