Triple
T33106044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German trade unions |
E847192
|
entity |
| Predicate | abbreviationOfMajorConfederation |
P17572
|
FINISHED |
| Object |
DGB
DGB is Germany’s largest umbrella organization for trade unions, representing millions of workers across multiple sectors.
|
E2035272
|
NE FINISHED |
How this triple was built (3 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: DGB | Statement: [German trade unions, abbreviationOfMajorConfederation, DGB]
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: DGB Triple: [German trade unions, abbreviationOfMajorConfederation, DGB]
Generated description
DGB is Germany’s largest umbrella organization for trade unions, representing millions of workers across multiple sectors.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbreviationOfMajorConfederation Context triple: [German trade unions, abbreviationOfMajorConfederation, DGB]
-
A.
abbreviationOfTopDivision
Indicates that one entity is an abbreviated or shortened form of the name of the top-level division or tier represented by another entity.
-
B.
athleticAssociationAbbreviation
Indicates the abbreviated form of the name of an athletic association with which an entity is affiliated.
-
C.
federationAbbreviation
chosen
Indicates that one entity is the standard short-form or abbreviated designation of a federation associated with another entity.
-
D.
qualificationAbbreviation
Indicates that one entity is an abbreviated form or shortened representation of another entity’s qualification or credential.
-
E.
abbreviationOfDefiningBody
Indicates that one entity is an abbreviation that has been formally defined or established by another entity (the defining body).
- F. None of above.
Provenance (6 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34f0330dc081908c7eefbd0858b5d7 |
completed | June 19, 2026, 7:30 a.m. |
| NEDg | Description generation | batch_6a34fac5b8608190aa4d75308c8e80d0 |
completed | June 19, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34fb4c77148190be1f4858389df113 |
completed | June 19, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.