Triple
T18564603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 3490 |
E453730
|
entity |
| Predicate | relatesTo |
P37
|
FINISHED |
| Object | DNS |
—
|
NE NERFINISHED |
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: DNS | Statement: [RFC 3490, relatesTo, DNS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNS Context triple: [RFC 3490, relatesTo, DNS]
-
A.
Domain Name System
chosen
The Domain Name System (DNS) is the hierarchical, distributed naming infrastructure of the internet that translates human-readable domain names into numerical IP addresses used by computers.
-
B.
dnsop
dnsop is the IETF working group focused on the operational aspects, maintenance, and evolution of the Domain Name System (DNS).
-
C.
DNSO
DNSO is the ICAO airport code for Sadiq Abubakar III International Airport in Sokoto, Nigeria.
-
D.
OpenDNS
OpenDNS is a cloud-delivered DNS and security service provider known for web filtering, phishing protection, and enterprise network security solutions.
-
E.
dnstrace
dnstrace is a diagnostic tool in the djbdns suite used to trace and analyze the sequence of DNS queries and responses involved in resolving a domain name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afd8114819093b57d86f8213311 |
completed | April 19, 2026, 8:28 p.m. |
Created at: April 10, 2026, 11:42 a.m.