Triple
T15217958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIST Special Database 1 |
E363687
|
entity |
| Predicate | languageOfDigits |
P86768
|
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: [NIST Special Database 1, languageOfDigits, Arabic numerals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfDigits Context triple: [NIST Special Database 1, languageOfDigits, Arabic numerals]
-
A.
usesNumeralsFrom
chosen
Indicates that one writing system, notation, or representation employs the numeral symbols originating from another system.
-
B.
expressedInText
Indicates that a particular idea, statement, or piece of information is explicitly conveyed within a given text.
-
C.
numeralsRangePerPosition
Indicates the allowed range of numeral values that can appear in each positional place within a number representation.
-
D.
spellsOut
Indicates that one entity explicitly writes, states, or presents another entity in full detail, often by expanding an abbreviation, code, or symbolic form into its complete representation.
-
E.
numberingSystemBasedOn
Indicates that one numbering system is derived from, structured according to, or conceptually dependent on another numbering 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:11 a.m.