Triple
T34004758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch telephone numbering plan |
E871928
|
entity |
| Predicate | maximumNumberLength |
P110644
|
FINISHED |
| Object | 10 digits including trunk prefix |
—
|
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: 10 digits including trunk prefix | Statement: [Dutch telephone numbering plan, maximumNumberLength, 10 digits including trunk prefix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumNumberLength Context triple: [Dutch telephone numbering plan, maximumNumberLength, 10 digits including trunk prefix]
-
A.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
B.
maximumDigit
Indicates that one entity is the largest-valued digit present within another entity (such as a number or digit sequence).
-
C.
maximumNationalNumberLength
chosen
Indicates the greatest number of digits allowed in a national (domestic) phone number for a given country or numbering plan.
-
D.
maximumStandardLength
Indicates the greatest allowable or specified length for something according to a defined standard.
-
E.
maximumSegmentLength
Indicates the greatest allowable or observed length of a segment within a given context or structure.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 1, 2026, 1:50 a.m.