Triple
T3717807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Window (radar countermeasures) |
E81572
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Düppel
Düppel is a World War II-era radar countermeasure consisting of clouds of metallic strips or chaff released from aircraft to confuse enemy radar systems.
|
E381978
|
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: Düppel | Statement: [Window (radar countermeasures), alsoKnownAs, Düppel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Düppel Context triple: [Window (radar countermeasures), alsoKnownAs, Düppel]
-
A.
Winsum
Winsum is a historic village and former municipality in the Dutch province of Groningen, known for its old churches, windmills, and picturesque canals.
-
B.
Idstein
Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
-
C.
Bittrich
Bittrich is a German surname most notably borne by Wilhelm Bittrich, a high-ranking Waffen-SS commander during World War II.
-
D.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
E.
Nattheim
Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
- 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: Düppel Triple: [Window (radar countermeasures), alsoKnownAs, Düppel]
Generated description
Düppel is a World War II-era radar countermeasure consisting of clouds of metallic strips or chaff released from aircraft to confuse enemy radar systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Düppel Target entity description: Düppel is a World War II-era radar countermeasure consisting of clouds of metallic strips or chaff released from aircraft to confuse enemy radar systems.
-
A.
Winsum
Winsum is a historic village and former municipality in the Dutch province of Groningen, known for its old churches, windmills, and picturesque canals.
-
B.
Idstein
Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
-
C.
Bittrich
Bittrich is a German surname most notably borne by Wilhelm Bittrich, a high-ranking Waffen-SS commander during World War II.
-
D.
Drensteinfurt
Drensteinfurt is a small town in North Rhine-Westphalia, Germany, known for its historic architecture and location in the Münsterland region.
-
E.
Nattheim
Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca984844819087a2f6b20d2f19e7 |
completed | March 8, 2026, 7:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce1260948190b4707337e9427c2c |
completed | March 14, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69b4cf799ae88190bbf821f4c4500031 |
completed | March 14, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4d0057fe8819092a40732324f88c9 |
completed | March 14, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:33 p.m.