Triple
T8249170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dnsenum |
E192913
|
entity |
| Predicate | domain |
P87
|
FINISHED |
| Object | DNS |
E1065
|
NE 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: DNS | Statement: [dnsenum, domain, DNS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNS Context triple: [dnsenum, domain, 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.
OpenDNS
OpenDNS is a cloud-delivered DNS and security service provider known for web filtering, phishing protection, and enterprise network security solutions.
-
C.
Dienst der Domeinen
Dienst der Domeinen was a former Dutch government agency responsible for managing and disposing of state-owned property and assets.
-
D.
Domain Name System root zone
The Domain Name System root zone is the top-level, authoritative directory of the internet’s domain name hierarchy, mapping top-level domains to their corresponding name servers.
-
E.
dnsmasq
dnsmasq is a lightweight, easy-to-configure network service daemon that provides DNS forwarding, DHCP, and TFTP services, commonly used in embedded systems and home routers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78c6b3c48190a3ecebf449766124 |
completed | March 31, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd353888208190941d1c0b7b911cdd |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:48 p.m.