Triple
T9992316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Y-Gerät |
E196915
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Y‑beam
Y‑beam, also known as Y‑Gerät, was a World War II German radio navigation system used by the Luftwaffe to guide bombers accurately to their targets.
|
E833182
|
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: Y‑beam | Statement: [Y-Gerät, hasAlternativeName, Y‑beam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Y‑beam Context triple: [Y-Gerät, hasAlternativeName, Y‑beam]
-
A.
J-bar
J-bar is a surface ski lift consisting of J-shaped bars that pull skiers and snowboarders uphill while they remain on the snow.
-
B.
Pylon
Pylon was an influential American post-punk band from Athens, Georgia, known for its angular guitar sound and role in the early alternative rock scene.
-
C.
Yoke
Yoke is a prominent fell in England’s Lake District, known for its sweeping ridge views and popularity among hikers.
-
D.
Slat
Slat is a Dutch inventor and entrepreneur best known as the founder and CEO of The Ocean Cleanup, a project aimed at removing plastic pollution from the world’s oceans.
-
E.
Sawhorse
Sawhorse is a magically animated wooden horse from L. Frank Baum’s Oz series, serving as a loyal but stiff and speedy steed for characters like Tip and the Scarecrow.
- 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: Y‑beam Triple: [Y-Gerät, hasAlternativeName, Y‑beam]
Generated description
Y‑beam, also known as Y‑Gerät, was a World War II German radio navigation system used by the Luftwaffe to guide bombers accurately to their targets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Y‑beam Target entity description: Y‑beam, also known as Y‑Gerät, was a World War II German radio navigation system used by the Luftwaffe to guide bombers accurately to their targets.
-
A.
J-bar
J-bar is a surface ski lift consisting of J-shaped bars that pull skiers and snowboarders uphill while they remain on the snow.
-
B.
Pylon
Pylon was an influential American post-punk band from Athens, Georgia, known for its angular guitar sound and role in the early alternative rock scene.
-
C.
Yoke
Yoke is a prominent fell in England’s Lake District, known for its sweeping ridge views and popularity among hikers.
-
D.
Slat
Slat is a Dutch inventor and entrepreneur best known as the founder and CEO of The Ocean Cleanup, a project aimed at removing plastic pollution from the world’s oceans.
-
E.
Sawhorse
Sawhorse is a magically animated wooden horse from L. Frank Baum’s Oz series, serving as a loyal but stiff and speedy steed for characters like Tip and the Scarecrow.
- 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_69ca82f1678c819093d06320a05f16a4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcb96c7308190902802ef5df764c1 |
completed | April 2, 2026, 1:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d25821dde881909f5d4cc6ad048b01 |
completed | April 5, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69d258b875cc8190ae8b122f35aa5566 |
completed | April 5, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2592b1f9c8190a9db928b9527e27b |
completed | April 5, 2026, 12:44 p.m. |
Created at: March 30, 2026, 8:50 p.m.