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.