Triple

T8668422
Position Surface form Disambiguated ID Type / Status
Subject FuG 220 Lichtenstein SN-2 radar E205732 entity
Predicate alternateName P39 FINISHED
Object Lichtenstein SN-2
Lichtenstein SN-2 was a German World War II airborne radar system used primarily for night-fighter interception.
 E750010 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: Lichtenstein SN-2 | Statement: [FuG 220 Lichtenstein SN-2 radar, alternateName, Lichtenstein SN-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lichtenstein SN-2
Context triple: [FuG 220 Lichtenstein SN-2 radar, alternateName, Lichtenstein SN-2]
  • A. Espee
    Espee is a common nickname for the historic Southern Pacific Railroad, a major American railroad that operated in the western United States.
  • B. Steenberg
    Steenberg is a suburb in Cape Town, South Africa, situated near the Pollsmoor maximum-security prison.
  • C. Elster
    Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
  • D. Simoa
    Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
  • E. Steeg
    Steeg is a small alpine village in the Austrian state of Tyrol, known for its scenic location in the upper Lech Valley near the Arlberg region.
  • 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: Lichtenstein SN-2
Triple: [FuG 220 Lichtenstein SN-2 radar, alternateName, Lichtenstein SN-2]
Generated description
Lichtenstein SN-2 was a German World War II airborne radar system used primarily for night-fighter interception.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lichtenstein SN-2
Target entity description: Lichtenstein SN-2 was a German World War II airborne radar system used primarily for night-fighter interception.
  • A. Espee
    Espee is a common nickname for the historic Southern Pacific Railroad, a major American railroad that operated in the western United States.
  • B. Steenberg
    Steenberg is a suburb in Cape Town, South Africa, situated near the Pollsmoor maximum-security prison.
  • C. Elster
    Elster is a river in central Europe, primarily flowing through the German state of Saxony and its surrounding regions.
  • D. Simoa
    Simoa is a river in southeastern Norway that flows through Buskerud county before joining the larger Drammenselva river system.
  • E. Steeg
    Steeg is a small alpine village in the Austrian state of Tyrol, known for its scenic location in the upper Lech Valley near the Arlberg region.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a48b548190b78259072b1224ee completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd1ca88c8190a3b2ca79a7204248 completed April 2, 2026, 8:10 p.m.
NEDg Description generation batch_69cece8fcbcc8190832a66287bc8f833 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecff48600819086a15700cb947056 completed April 2, 2026, 8:22 p.m.
Created at: March 30, 2026, 6:31 p.m.