Triple
T36026313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITU-T E.164 |
E1042139
|
entity |
| Predicate | maximumDigits |
P29667
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [ITU-T E.164, maximumDigits, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDigits Context triple: [ITU-T E.164, maximumDigits, 15]
-
A.
maximumDigit
Indicates that one entity is the largest-valued digit present within another entity (such as a number or digit sequence).
-
B.
maximumNumber
chosen
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
C.
maximumMagnitude
Indicates the greatest absolute value or intensity that a quantity, measurement, or effect can reach within a given context.
-
D.
maximumCeiling
Indicates the highest allowable or achievable limit or value that something cannot exceed.
-
E.
maxNumberOfValues
Indicates the maximum count of distinct values that may be associated with a given entity or property in this relationship.
- 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_69f76e2c568881909e1e21f85252b0f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 3, 2026, 4:07 p.m.