Triple
T16757587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zentrum für Geoinformationswesen der Bundeswehr |
E407248
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ZGeoBw
ZGeoBw is the German Bundeswehr’s central agency responsible for providing military geospatial information, analysis, and services.
|
E1231438
|
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: ZGeoBw | Statement: [Zentrum für Geoinformationswesen der Bundeswehr, shortName, ZGeoBw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZGeoBw Context triple: [Zentrum für Geoinformationswesen der Bundeswehr, shortName, ZGeoBw]
-
A.
Boundary Country
Boundary Country is a rural region in southern British Columbia, Canada, known for its historic mining towns, agricultural valleys, and location along the U.S.–Canada border.
-
B.
Länder
Länder are the individual federal states that make up the Federal Republic of Germany, each with its own government and significant legislative powers.
-
C.
Bolhrad
Bolhrad is a town in southwestern Ukraine known as a historical center of the Bulgarian community in the Odesa region.
-
D.
GEO
GEO is an intergovernmental partnership that coordinates global efforts to build and improve Earth observation systems for informed environmental and societal decision-making.
-
E.
GEO
GEO is the three-letter ISO 3166-1 alpha-3 country code representing the nation of Georgia.
- 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: ZGeoBw Triple: [Zentrum für Geoinformationswesen der Bundeswehr, shortName, ZGeoBw]
Generated description
ZGeoBw is the German Bundeswehr’s central agency responsible for providing military geospatial information, analysis, and services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZGeoBw Target entity description: ZGeoBw is the German Bundeswehr’s central agency responsible for providing military geospatial information, analysis, and services.
-
A.
Boundary Country
Boundary Country is a rural region in southern British Columbia, Canada, known for its historic mining towns, agricultural valleys, and location along the U.S.–Canada border.
-
B.
Länder
Länder are the individual federal states that make up the Federal Republic of Germany, each with its own government and significant legislative powers.
-
C.
Bolhrad
Bolhrad is a town in southwestern Ukraine known as a historical center of the Bulgarian community in the Odesa region.
-
D.
GEO
GEO is an intergovernmental partnership that coordinates global efforts to build and improve Earth observation systems for informed environmental and societal decision-making.
-
E.
GEO
GEO is the three-letter ISO 3166-1 alpha-3 country code representing the nation of Georgia.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abe94cc0819099b05cd205d368c5 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52886e48190b7a1e6fccd9a5709 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5e1eea8819088553ac6673e9b1c |
completed | May 10, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a68b92b48190865ddd477a8ba1c6 |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 5:21 a.m.