Triple
T10240431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Defense Committee |
E243573
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
GKO
GKO was the supreme emergency governing body of the Soviet Union during World War II, overseeing the country’s military, economic, and political mobilization for the war effort.
|
E853445
|
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: GKO | Statement: [State Defense Committee, alsoKnownAs, GKO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GKO Context triple: [State Defense Committee, alsoKnownAs, GKO]
-
A.
GKW
GKW is the National Rail station code for Greenock West railway station in Inverclyde, Scotland.
-
B.
KGN
KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
-
C.
GKY
GKY is the FAA location identifier for Arlington Municipal Airport in Arlington, Texas.
-
D.
KGG
KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
-
E.
GOKb
GOKb is an open, community-maintained knowledgebase that provides structured metadata about electronic resources to support library collection management and discovery services.
- 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: GKO Triple: [State Defense Committee, alsoKnownAs, GKO]
Generated description
GKO was the supreme emergency governing body of the Soviet Union during World War II, overseeing the country’s military, economic, and political mobilization for the war effort.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GKO Target entity description: GKO was the supreme emergency governing body of the Soviet Union during World War II, overseeing the country’s military, economic, and political mobilization for the war effort.
-
A.
GKW
GKW is the National Rail station code for Greenock West railway station in Inverclyde, Scotland.
-
B.
KGN
KGN is the standard three-letter abbreviation used for the Kingston Frontenacs, a major junior ice hockey team in the Ontario Hockey League.
-
C.
GKY
GKY is the FAA location identifier for Arlington Municipal Airport in Arlington, Texas.
-
D.
KGG
KGG is the abbreviated name of Kings Guard Gaming, an NBA 2K League esports team affiliated with the Sacramento Kings.
-
E.
GOKb
GOKb is an open, community-maintained knowledgebase that provides structured metadata about electronic resources to support library collection management and discovery services.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21e27f08190b956d351a75c7c52 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f776464881908957e1ac4b49d936 |
completed | April 9, 2026, 12:48 a.m. |
| NEDg | Description generation | batch_69d6fa2f7a848190a9de5de4d0f3f110 |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcbab3ec8190ade1c0223c22ad58 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:24 a.m.