Triple
T29093003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFNIC |
E734909
|
entity |
| Predicate | managesTLDType |
P19623
|
FINISHED |
| Object | country-code top-level domain |
—
|
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: country-code top-level domain | Statement: [AFNIC, managesTLDType, country-code top-level domain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managesTLDType Context triple: [AFNIC, managesTLDType, country-code top-level domain]
-
A.
managesTopLevelDomain
Indicates that one entity has administrative authority over and is responsible for operating and maintaining a specific top-level domain on the internet.
-
B.
TLDType
chosen
Indicates the classification or category of a top-level domain (TLD) based on its intended purpose or administrative type.
-
C.
ccTLDManager
Indicates that an entity is responsible for administering and managing a specific country-code top-level domain (ccTLD) on behalf of a country or territory.
-
D.
ICANNApproved
Indicates that an entity (such as a domain, registrar, or policy) has been formally reviewed and granted approval by ICANN, the Internet Corporation for Assigned Names and Numbers.
-
E.
supportsInternationalRegistrars
Indicates that an entity is compatible with and provides services for registrars operating in multiple countries or international markets.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 28, 2026, 11:06 a.m.