Triple
T3442908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council for Mass Media in Finland |
E72605
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
CMM
CMM is Finland’s independent self-regulatory body that oversees journalistic ethics and handles complaints about the news media.
|
E357107
|
NE FINISHED |
How this triple was built (4 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: CMM | Statement: [Council for Mass Media in Finland, hasAbbreviation, CMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMM Context triple: [Council for Mass Media in Finland, hasAbbreviation, CMM]
-
A.
CMM
CMM is the commonly used abbreviation for the Montreal Metropolitan Community, a regional governance body that coordinates planning and development across the Greater Montreal area in Quebec, Canada.
-
B.
TMM
TMM was the former currency code for the original Turkmenistan manat used before the country's monetary redenomination.
-
C.
CMI
CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
-
D.
Cm
Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
-
E.
CSM
CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CMM Triple: [Council for Mass Media in Finland, hasAbbreviation, CMM]
Generated description
CMM is Finland’s independent self-regulatory body that oversees journalistic ethics and handles complaints about the news media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CMM Target entity description: CMM is Finland’s independent self-regulatory body that oversees journalistic ethics and handles complaints about the news media.
-
A.
CMM
CMM is the commonly used abbreviation for the Montreal Metropolitan Community, a regional governance body that coordinates planning and development across the Greater Montreal area in Quebec, Canada.
-
B.
TMM
TMM was the former currency code for the original Turkmenistan manat used before the country's monetary redenomination.
-
C.
CMI
CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
-
D.
Cm
Cm is the standard abbreviation used for United Kingdom Command Papers, a type of official government publication presented to Parliament.
-
E.
CSM
CSM is a renowned London art and design college known for its influential fashion, fine art, and creative industries programs.
- F. None of above. chosen
Provenance (5 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba28ec448190a6a07c5f16235fe3 |
completed | March 8, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35486f7a08190885e98bb89e74f15 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b35547a9a881909d754625806cff2a |
completed | March 13, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b355efa89c8190bf9b2eb3c41257b3 |
completed | March 13, 2026, 12:10 a.m. |
Created at: March 8, 2026, 3:16 p.m.