Triple

T8460139
Position Surface form Disambiguated ID Type / Status
Subject Kovno, Russian Empire E200019 entity
Predicate nameInYiddish P25045 FINISHED
Object קאוונא
קאוונא היא שמו היידי של העיר קובנה (קאונס) בליטא, שהייתה מרכז יהודי חשוב וקהילה רבנית ותרבותית בולטת עד השואה.
 E735342 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: קאוונא | Statement: [Kovno, Russian Empire, nameInYiddish, קאוונא]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: קאוונא
Context triple: [Kovno, Russian Empire, nameInYiddish, קאוונא]
  • A. Ne Win
    Ne Win was a Burmese military leader and politician who ruled Myanmar for decades after seizing power in a 1962 coup, establishing an authoritarian socialist regime.
  • B. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • C. Kare
    Kare is an alternate name for the Cari language, an indigenous language of the Cariban family spoken in parts of South America.
  • D. Kitson
    Kitson is an English-origin surname borne by various notable figures, including artists, politicians, and athletes.
  • E. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • 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: קאוונא
Triple: [Kovno, Russian Empire, nameInYiddish, קאוונא]
Generated description
קאוונא היא שמו היידי של העיר קובנה (קאונס) בליטא, שהייתה מרכז יהודי חשוב וקהילה רבנית ותרבותית בולטת עד השואה.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: קאוונא
Target entity description: קאוונא היא שמו היידי של העיר קובנה (קאונס) בליטא, שהייתה מרכז יהודי חשוב וקהילה רבנית ותרבותית בולטת עד השואה.
  • A. Ne Win
    Ne Win was a Burmese military leader and politician who ruled Myanmar for decades after seizing power in a 1962 coup, establishing an authoritarian socialist regime.
  • B. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • C. Kare
    Kare is an alternate name for the Cari language, an indigenous language of the Cariban family spoken in parts of South America.
  • D. Kitson
    Kitson is an English-origin surname borne by various notable figures, including artists, politicians, and athletes.
  • E. Knox
    Knox is a surname most famously associated with Henry Knox, a key American Revolutionary War general and the first United States Secretary of War.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49fca788190a8728ff74f4d26f5 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1df214ac8190b59daa88e3a930bc completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce21c53298819080137c87ff487b50 completed April 2, 2026, 7:59 a.m.
NED2 Entity disambiguation (via description) batch_69ce23d6da1c8190a28bc895d737595e completed April 2, 2026, 8:07 a.m.
Created at: March 30, 2026, 6:10 p.m.