Triple
T8755838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IETF NETMOD Working Group |
E208070
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | NETMOD |
E208067
|
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: NETMOD | Statement: [IETF NETMOD Working Group, abbreviation, NETMOD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NETMOD Context triple: [IETF NETMOD Working Group, abbreviation, NETMOD]
-
A.
NETMOD
chosen
NETMOD is an IETF working group focused on developing and standardizing data modeling languages and related mechanisms for network configuration and management.
-
B.
R-net
R-net is a high-quality Dutch public transport network brand that unifies and standardizes premium bus, tram, metro, and train services across several regions in the Netherlands.
-
C.
KMOD
KMOD is the ICAO airport code for Modesto City–County Airport in Modesto, California.
-
D.
NETCOM
NETCOM is a major U.S. Army command responsible for operating, securing, and managing the Army’s global enterprise network and communications infrastructure.
-
E.
Netphen
Netphen is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its surrounding forests and role as a local administrative and economic center.
- 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_69cf6f10aea48190bb63a4b2fdd72338 |
completed | April 3, 2026, 7:41 a.m. |
Created at: March 30, 2026, 6:39 p.m.