Triple

T36017835
Position Surface form Disambiguated ID Type / Status
Subject Hezir E1041894 entity
Predicate hasPriestlyDivision P130885 FINISHED
Object Benei Hezir division
The Benei Hezir division was one of the priestly courses in ancient Israel, traditionally associated with the descendants of Hezir who served in the Temple.
 E2164616 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: Benei Hezir division | Statement: [Hezir, hasPriestlyDivision, Benei Hezir division]
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: Benei Hezir division
Triple: [Hezir, hasPriestlyDivision, Benei Hezir division]
Generated description
The Benei Hezir division was one of the priestly courses in ancient Israel, traditionally associated with the descendants of Hezir who served in the Temple.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasPriestlyDivision
Context triple: [Hezir, hasPriestlyDivision, Benei Hezir division]
  • A. priestlyDivision chosen
    Indicates a relationship where an individual is assigned to or associated with a specific priestly division or order within a religious hierarchy.
  • B. hasPriestlyLineage
    Indicates that an entity descends from, or belongs to, a recognized priestly family or hereditary priestly line.
  • C. hasClergyOrder
    Indicates that an entity is associated with, or belongs to, a specific religious or clerical order.
  • D. hasClergy
    Indicates that an organization or institution possesses or is served by members of the clergy.
  • E. hasClergyType
    Indicates the specific category or role of clergy associated with an entity.
  • 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_69f76e2b981881908e4e160607fa82eb completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38bffe46f08190badbf2a6df84a44f completed June 22, 2026, 4:54 a.m.
NEDg Description generation batch_6a38c088eb848190a35f4cff5101fea5 completed June 22, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_6a38c11341d48190a70b63b26023add0 completed June 22, 2026, 4:58 a.m.
PD Predicate disambiguation batch_6a037a0895b48190acdd88dc10db7be7 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:07 p.m.