Triple

T29455016
Position Surface form Disambiguated ID Type / Status
Subject Funkgerät 212 E747074 entity
Predicate radarFamily P167204 FINISHED
Object Lichtenstein series of AI radars
The Lichtenstein series of AI radars were German airborne interception radar systems used by the Luftwaffe night fighters during World War II to detect and track enemy aircraft in the dark.
 E1866103 NE FINISHED

How this triple was built (3 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 series of AI radars | Statement: [Funkgerät 212, radarFamily, Lichtenstein series of AI radars]
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 series of AI radars
Triple: [Funkgerät 212, radarFamily, Lichtenstein series of AI radars]
Generated description
The Lichtenstein series of AI radars were German airborne interception radar systems used by the Luftwaffe night fighters during World War II to detect and track enemy aircraft in the dark.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: radarFamily
Context triple: [Funkgerät 212, radarFamily, Lichtenstein series of AI radars]
  • A. radarType
    Indicates the specific category or classification of radar associated with an entity.
  • B. radarFunction
    Indicates that one entity serves as the functional role, purpose, or operational capability of a radar system in relation to another entity.
  • C. radarInterface
    Indicates that one entity serves as or provides a radar-based interface or interaction layer for another entity.
  • D. radarEquipment
    Indicates that one entity is radar equipment used for detecting, tracking, or measuring objects relative to another entity.
  • E. associatedRadar
    Indicates that one entity is linked or connected to a specific radar system or radar-related resource.
  • F. None of above. chosen

Provenance (7 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_69f0a7a230488190b44a97fe3d16f731 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f66b6c26a481908018e663aee7b269 completed May 2, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25d943166481909430879014e1c02a completed June 7, 2026, 8:49 p.m.
NEDg Description generation batch_6a25dcffa7b481908d59b0da4dc1fa7c completed June 7, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_6a25e0dc908c8190a3d1b875d35bee66 completed June 7, 2026, 9:21 p.m.
PD Predicate disambiguation batch_69f66339175c819080bd70f0ff7057b1 completed May 2, 2026, 8:48 p.m.
PDg Predicate description generation batch_69f663ff176c8190aaadb475f75daee4 completed May 2, 2026, 8:52 p.m.
Created at: April 28, 2026, 3:36 p.m.