Triple
T9792021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romanized Popular Alphabet |
E237627
|
entity |
| Predicate | digitSystem |
P5213
|
FINISHED |
| Object | Arabic numerals |
—
|
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: Arabic numerals | Statement: [Romanized Popular Alphabet, digitSystem, Arabic numerals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitSystem Context triple: [Romanized Popular Alphabet, digitSystem, Arabic numerals]
-
A.
digitSymbols
Indicates a mapping between digits and the symbols used to represent those digits in a numeral system.
-
B.
hasNumberSystem
chosen
Indicates that an entity possesses or uses a particular system for representing and organizing numbers.
-
C.
notationSystem
Indicates a relationship where one entity is the system or method of notation used to represent or encode another entity.
-
D.
digitSymbolForOne
Indicates that something is the written or symbolic representation used to denote the numeric value one.
-
E.
usesNumeralsFrom
Indicates that one writing system, notation, or representation employs the numeral symbols originating from another system.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda3456bac819097afb20ce9081dd7 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.