Triple
T18886848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish Special Forces Command |
E461978
|
entity |
| Predicate | subordinateUnit |
P258
|
FINISHED |
| Object |
JW Agat
JW Agat is a Polish special forces military unit known for high-risk direct action and counterterrorism operations under the Polish Armed Forces.
|
E1349011
|
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: JW Agat | Statement: [Polish Special Forces Command, subordinateUnit, JW Agat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JW Agat Context triple: [Polish Special Forces Command, subordinateUnit, JW Agat]
-
A.
Jungmann
Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
-
B.
Raddory Gewe
Raddory Gewe is a lesser-known pseudonym used by the American writer and illustrator Edward Gorey.
-
C.
Hauerland
Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
-
D.
Wiebe
Wiebe is a given name and surname of Frisian and Dutch origin, used in various forms across the Netherlands and surrounding regions.
-
E.
Katinger Watt
Katinger Watt is a coastal nature reserve and former tidal flat area on the North Sea in northern Germany, known for its rich birdlife and protected wetlands.
- 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: JW Agat Triple: [Polish Special Forces Command, subordinateUnit, JW Agat]
Generated description
JW Agat is a Polish special forces military unit known for high-risk direct action and counterterrorism operations under the Polish Armed Forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JW Agat Target entity description: JW Agat is a Polish special forces military unit known for high-risk direct action and counterterrorism operations under the Polish Armed Forces.
-
A.
Jungmann
Jungmann is the nickname of the Bücker Bü 131, a German 1930s biplane widely used as a primary trainer aircraft before and during World War II.
-
B.
Raddory Gewe
Raddory Gewe is a lesser-known pseudonym used by the American writer and illustrator Edward Gorey.
-
C.
Hauerland
Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
-
D.
Wiebe
Wiebe is a given name and surname of Frisian and Dutch origin, used in various forms across the Netherlands and surrounding regions.
-
E.
Katinger Watt
Katinger Watt is a coastal nature reserve and former tidal flat area on the North Sea in northern Germany, known for its rich birdlife and protected wetlands.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c4760d808190b502c4ed1f24424c |
completed | April 20, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582b37de881908475c69461c15c8f |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a05887693d081908fa60534c3c36144 |
completed | May 14, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05891f4a248190a5527a939fcb16da |
completed | May 14, 2026, 8:34 a.m. |
Created at: April 10, 2026, 11:58 a.m.