Triple

T31248975
Position Surface form Disambiguated ID Type / Status
Subject שבט יהודה E796762 entity
Predicate כולל דמות בולטת P171495 FINISHED
Object כלב בן יפונה
כלב בן יפונה הוא אחת הדמויות המרכזיות בתנ"ך, מרגל משבט יהודה שנודע באמונתו הבלתי מתפשרת ובכך שזכה להיכנס לארץ ישראל.
E1954899 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: כלב בן יפונה | Statement: [שבט יהודה, כולל דמות בולטת, כלב בן יפונה]
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: כלב בן יפונה
Triple: [שבט יהודה, כולל דמות בולטת, כלב בן יפונה]
Generated description
כלב בן יפונה הוא אחת הדמויות המרכזיות בתנ"ך, מרגל משבט יהודה שנודע באמונתו הבלתי מתפשרת ובכך שזכה להיכנס לארץ ישראל.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: כולל דמות בולטת
Context triple: [שבט יהודה, כולל דמות בולטת, כלב בן יפונה]
  • A. סיבת מוות
    Indicates the cause or reason that led to an entity’s death.
  • B. الجيل
    Indicates a generational relationship, linking entities as belonging to the same generation or specifying that one entity is a particular generation relative to another.
  • C. له طابع
    Indicates that something possesses or exhibits a particular character, style, or distinctive quality.
  • D. البنت
    Indicates a relationship where an entity is identified as a girl or daughter in relation to another entity.
  • E. التأثير
    Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
  • 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_69f224dc84d0819081f1cb6f9127e6b1 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69f80b62c8190bf2af2be0d3a7df8 completed May 3, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a296bf1f4ec81909f8ece6842dfa203 completed June 10, 2026, 1:51 p.m.
NEDg Description generation batch_6a296c9a1c4c81909c8fc4f25e4d0e6d completed June 10, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a29c642277c819081131c5da71c8ce2 completed June 10, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69f69d1bf8cc8190a78dfa5ab00daf3a completed May 3, 2026, 12:55 a.m.
PDg Predicate description generation batch_69f69edae2448190925ce701c8792c52 completed May 3, 2026, 1:03 a.m.
Created at: April 29, 2026, 9:11 p.m.