Triple
T11708210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MID RF |
E278300
|
entity |
| Predicate | usesAbbreviation |
P43
|
FINISHED |
| Object | MID RF |
E278300
|
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: MID RF | Statement: [MID RF, usesAbbreviation, MID RF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MID RF Context triple: [MID RF, usesAbbreviation, MID RF]
-
A.
MID RF
chosen
MID RF is the abbreviated name commonly used for the Ministry of Foreign Affairs of the Russian Federation, the government body responsible for managing Russia’s international relations and diplomacy.
-
B.
MIF
MIF is a fund within the Inter-American Development Bank Group that supports private sector development and inclusive economic growth in Latin America and the Caribbean.
-
C.
MIDE
MIDE is an interactive economics museum in Mexico City that uses hands-on exhibits and educational programs to explain economic and financial concepts to the public.
-
D.
MID
MID is the stock ticker symbol for the S&P MidCap 400 Index, which tracks the performance of medium-sized U.S. companies.
-
E.
MRF
MRF (Media Resource Function) is a core network component in IP Multimedia Subsystem (IMS) architectures responsible for handling media processing tasks such as mixing, transcoding, and media stream manipulation for real-time communication services.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49de0388190a063739426bf90e8 |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8374e6cc8190bba7f2f3ca6f4de9 |
completed | April 27, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:40 p.m.