Triple

T33829763
Position Surface form Disambiguated ID Type / Status
Subject HD 206859 E867063 entity
Predicate hasProperNameOrigin P3325 FINISHED
Object Arabic LITERAL 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: Arabic | Statement: [HD 206859, hasProperNameOrigin, Arabic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProperNameOrigin
Context triple: [HD 206859, hasProperNameOrigin, Arabic]
  • A. hasProperName
    Indicates that an entity is associated with a specific proper name used to uniquely identify it.
  • B. hasNameOriginType
    Indicates that there is a specific type or category describing the origin of an entity’s name.
  • C. hasNameOrigin chosen
    Indicates that the origin or source of an entity’s name is specified by the related entity.
  • D. hasProperNameElement
    Indicates that an entity’s proper name includes a specific component (such as a word, phrase, or segment) as one of its constituent elements.
  • E. hasLocalNameOrigin
    Indicates that the local or commonly used name of an entity originates from, or is derived from, a specified source (such as a language, place, or culture).
  • F. None of above.

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_69f34991dd248190a659541588506b3c completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a01d7b3ce8c8190b2f90be730505765 completed May 11, 2026, 1:20 p.m.
PD Predicate disambiguation batch_6a01d5115a6c8190a6d9f96ec484135a completed May 11, 2026, 1:09 p.m.
Created at: May 1, 2026, 1:46 a.m.