Triple

T29054166
Position Surface form Disambiguated ID Type / Status
Subject קובנה E735342 entity
Predicate הוקם בה P30003 FINISHED
Object גטו קובנה
גטו קובנה היה גטו יהודי גדול שהקימו הנאצים בעיר קובנה שבליטא בתקופת השואה, ושימש מרכז לריכוז, ניצול והשמדת יהודי האזור.
 E1848397 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: גטו קובנה | Statement: [קובנה, הוקם בה, גטו קובנה]
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: גטו קובנה
Triple: [קובנה, הוקם בה, גטו קובנה]
Generated description
גטו קובנה היה גטו יהודי גדול שהקימו הנאצים בעיר קובנה שבליטא בתקופת השואה, ושימש מרכז לריכוז, ניצול והשמדת יהודי האזור.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: הוקם בה
Context triple: [קובנה, הוקם בה, גטו קובנה]
  • A. הוקמה לשם
    Indicates that something was established or founded for the purpose of serving or fulfilling a specified aim or function.
  • B. שנת_הקמה
    Indicates the year in which an entity (such as an organization, place, or structure) was founded or established.
  • C. erected
    Indicates that one entity caused a structure or object to be built or put upright, typically in a deliberate and often permanent manner.
  • D. builtInThe chosen
    Indicates that something was constructed or created within a specified location, structure, or context.
  • E. builtOn
    Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
  • F. None of above.

Provenance (6 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_69f077e64b88819094d37bdbca8191b3 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f6609061508190ae12005d993e42bc completed May 2, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f79e5c88190bbb5d666f7796fd8 completed June 7, 2026, 7:36 a.m.
NEDg Description generation batch_6a25239d75fc819097fecb8edcd63e80 completed June 7, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_6a25283e68608190a5f0b319c8028258 completed June 7, 2026, 8:13 a.m.
PD Predicate disambiguation batch_69f659d297cc8190b2b962ba30a1edb3 completed May 2, 2026, 8:08 p.m.
Created at: April 28, 2026, 10:10 a.m.