Triple
T3147881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Broadcasting Union |
E65805
|
entity |
| Predicate | membershipIncludes |
P121
|
FINISHED |
| Object |
DR
DR is Denmark’s national public service broadcasting organization, operating television, radio, and online media.
|
E331126
|
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: DR | Statement: [European Broadcasting Union, membershipIncludes, DR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DR Context triple: [European Broadcasting Union, membershipIncludes, DR]
-
A.
DEN
DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
-
B.
DRV
DRV is an abbreviation commonly used for the Democratic Republic of Vietnam, the former communist state that governed North Vietnam from 1945 to 1976.
-
C.
DM
DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
-
D.
DM
DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
-
E.
DAR
DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
- 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: DR Triple: [European Broadcasting Union, membershipIncludes, DR]
Generated description
DR is Denmark’s national public service broadcasting organization, operating television, radio, and online media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DR Target entity description: DR is Denmark’s national public service broadcasting organization, operating television, radio, and online media.
-
A.
DEN
DEN is the three-letter IATA airport code for Denver International Airport, the primary commercial airport serving Denver, Colorado.
-
B.
DRV
DRV is an abbreviation commonly used for the Democratic Republic of Vietnam, the former communist state that governed North Vietnam from 1945 to 1976.
-
C.
DM
DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
-
D.
DM
DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
-
E.
DAR
DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59a54188190a2e020fd4004d734 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f53bbc81908416272cd48af69e |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b225896c4c81909e875a2d357e7bc5 |
completed | March 12, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b225fef06081908dcd8201def1ad95 |
completed | March 12, 2026, 2:33 a.m. |
Created at: March 8, 2026, 3:05 p.m.