Triple

T29466185
Position Surface form Disambiguated ID Type / Status
Subject خيبر E747384 entity
Predicate preIslamicPopulation P73479 FINISHED
Object يهود خيبر
يهود خيبر هم جماعات يهودية عربية استوطنت واحات خيبر في شمال الحجاز قبل الإسلام واشتهرت بحصونها ونشاطها الزراعي وتجارتها.
 E1868457 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: يهود خيبر | Statement: [خيبر, preIslamicPopulation, يهود خيبر]
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: يهود خيبر
Triple: [خيبر, preIslamicPopulation, يهود خيبر]
Generated description
يهود خيبر هم جماعات يهودية عربية استوطنت واحات خيبر في شمال الحجاز قبل الإسلام واشتهرت بحصونها ونشاطها الزراعي وتجارتها.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: preIslamicPopulation
Context triple: [خيبر, preIslamicPopulation, يهود خيبر]
  • A. preIslamicOccupation
    Indicates the role, job, or position a person held before the advent or adoption of Islam in their context.
  • B. preIslamicPresence chosen
    Indicates the existence or activity of someone or something in a place or context during the period before the advent of Islam.
  • C. preIslamicOrigin
    Indicates that something originates from, or has its roots in, the period or cultural context before the advent of Islam.
  • D. pre-IslamicFunction
    Indicates that something served a particular role, purpose, or function during the pre-Islamic period.
  • E. politicalStatusPreIslam
    Indicates the political condition, role, or organization that existed before the advent or establishment of Islam.
  • 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_69f0bd4125f88190b56104591351619c completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f66ba7afcc8190a98cfe4f88ab7bc7 completed May 2, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25f115d4788190b7604baf3d9f84ec completed June 7, 2026, 10:30 p.m.
NEDg Description generation batch_6a25f6362f6081909a04ef3fbd5bb67f completed June 7, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a25fa9d98d08190aef6fb0a1779f501 completed June 7, 2026, 11:11 p.m.
PD Predicate disambiguation batch_69f66339175c819080bd70f0ff7057b1 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 3:53 p.m.