Triple

T13729076
Position Surface form Disambiguated ID Type / Status
Subject Jahzeel E329742 entity
Predicate hasSibling P363 FINISHED
Object Jezer E329744 NE FINISHED

How this triple was built (2 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: Jezer | Statement: [Jahzeel, hasSibling, Jezer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jezer
Context triple: [Jahzeel, hasSibling, Jezer]
  • A. Jezer chosen
    Jezer is a minor biblical figure mentioned in the Hebrew Bible as one of the descendants associated with the tribe of Naphtali.
  • B. Jilava
    Jilava is a locality in Romania best known for its historic prison and fortress, which were used for political detentions and executions, especially during the 20th century.
  • C. Jeziorak
    Jeziorak is a long, narrow lake in northern Poland, known as one of the country's largest and a popular destination for water sports and recreation.
  • D. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • E. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6302e081908e2680443852d9fd completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.