Triple
T13496785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German telephone numbering plan |
E320781
|
entity |
| Predicate | carrierSelectionPrefixExample |
P110653
|
FINISHED |
| Object | 010xx |
—
|
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: 010xx | Statement: [German telephone numbering plan, carrierSelectionPrefixExample, 010xx]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carrierSelectionPrefixExample Context triple: [German telephone numbering plan, carrierSelectionPrefixExample, 010xx]
-
A.
carrierOf
Indicates that one entity serves as the medium, vehicle, or host that contains, transports, or conveys another entity.
-
B.
telecommunicationsProvider
Indicates that one entity provides telecommunications services (such as phone, internet, or data connectivity) to another entity.
-
C.
associatedFlagCarrier
Indicates that one entity serves as the designated national or primary flag carrier airline associated with another entity (such as a country, region, or organization).
-
D.
eligibleCarrier
Indicates that one entity is a valid or qualified carrier option for another entity under specified conditions.
-
E.
holderSelection
Indicates that a particular entity has been chosen or designated to serve as the holder of another entity or resource.
- F. None of above. chosen
Provenance (4 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4e9ca4819083116890a65389f9 |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:43 p.m.