Triple
T29585432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amshir |
E753705
|
entity |
| Predicate | hasCopticNumber |
P80876
|
FINISHED |
| Object | ϯⲙⲏϣⲓⲣ (sixth month) |
—
|
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: ϯⲙⲏϣⲓⲣ (sixth month) | Statement: [Amshir, hasCopticNumber, ϯⲙⲏϣⲓⲣ (sixth month)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCopticNumber Context triple: [Amshir, hasCopticNumber, ϯⲙⲏϣⲓⲣ (sixth month)]
-
A.
hasArabicNumeral
Indicates that an entity is associated with, represented by, or expressed using an Arabic numeral.
-
B.
hasUseInNumerals
Indicates that something is employed or functions as a component within numeral systems or numerical representations.
-
C.
hasNumeral
chosen
Indicates that one entity is associated with a numeral representation or numeric symbol of another entity.
-
D.
hasNumberSystem
Indicates that an entity possesses or uses a particular system for representing and organizing numbers.
-
E.
hasNumericValueInGreekNumerals
Indicates that an entity is associated with a specific numeric value expressed using Greek numeral notation.
- 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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a007dd341108190a1d03eab46041694 |
completed | May 10, 2026, 12:45 p.m. |
| PD | Predicate disambiguation | batch_6a007b1fe2a881909ec50a1e65e4651b |
completed | May 10, 2026, 12:33 p.m. |
Created at: April 28, 2026, 6:10 p.m.