Triple
T8755699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NETMOD |
E208067
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Network Modeling Working Group |
E208068
|
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: Network Modeling Working Group | Statement: [NETMOD, fullName, Network Modeling Working Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Network Modeling Working Group Context triple: [NETMOD, fullName, Network Modeling Working Group]
-
A.
Network Modeling Working Group
chosen
The Network Modeling Working Group is an IETF group responsible for developing and standardizing data modeling languages and frameworks for network configuration and management, notably including the YANG data modeling language.
-
B.
Network Working Group
The Network Working Group was an early collaborative body of researchers and engineers that developed and documented foundational protocols and standards for the ARPANET, which evolved into today’s Internet.
-
C.
IETF NETMOD Working Group
The IETF NETMOD Working Group is a standards body team within the Internet Engineering Task Force responsible for developing and maintaining data modeling languages and models for network configuration and management, notably the YANG data modeling language.
-
D.
Path Aware Networking Research Group
The Path Aware Networking Research Group is an IRTF research group that explores architectures and protocols enabling endpoints to be aware of and influence the network paths their traffic takes.
-
E.
Network Management Research Group
The Network Management Research Group is an IRTF working group that investigates advanced architectures, protocols, and techniques for managing and operating computer networks.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd95e9481909cc88e8d91601754 |
completed | March 31, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf43305664819085e762e42b138754 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.