Triple

T13132115
Position Surface form Disambiguated ID Type / Status
Subject Ibn al-Shatir planetary model E311987 entity
Predicate languageOfOriginalDescription P108236 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: [Ibn al-Shatir planetary model, languageOfOriginalDescription, Arabic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfOriginalDescription
Context triple: [Ibn al-Shatir planetary model, languageOfOriginalDescription, Arabic]
  • A. originalLanguageOfWholeWork
    Indicates that a given language is the primary or original language in which an entire work (such as a book, film, or other complete creation) was first produced or expressed.
  • B. collectionOriginalLanguage
    Indicates the language in which a collection was originally created or first expressed.
  • C. hasLanguageOfOrigin
    Indicates that one entity has its origin or source in the language specified by another entity.
  • D. languageOfParentWork
    Indicates that the specified language is the language in which the parent (original or containing) work is expressed.
  • E. languageOfOfficialEditions
    Indicates the language in which the official editions or versions of a work, document, or publication are produced or authorized.
  • F. None of above. chosen

Provenance (4 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b27a8c81909a92ab7be5d3a7e9 completed April 10, 2026, 11:03 p.m.
PD Predicate disambiguation batch_69d98043a74c81908648e6cd0b4c7f71 completed April 10, 2026, 10:57 p.m.
PDg Predicate description generation batch_69d98134df64819084a5674f9475dcc2 completed April 10, 2026, 11:01 p.m.
Created at: April 9, 2026, 9:08 p.m.