Triple

T10547590
Position Surface form Disambiguated ID Type / Status
Subject سيبويه E248862 entity
Predicate mainWork P922 FINISHED
Object الكتاب E243039 NE 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: الكتاب | Statement: [سيبويه, mainWork, الكتاب]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: الكتاب
Context triple: [سيبويه, mainWork, الكتاب]
  • A. الكتاب chosen
    الكتاب هو مؤلَّف نحوي كلاسيكي لسيبويه يُعدّ من أهم وأقدم المراجع في النحو العربي.
  • B. Buch
    Buch is a locality in the Berlin borough of Pankow, known for its historic hospital complex and extensive green spaces on the northeastern edge of the city.
  • C. Pukapuka
    Pukapuka is a remote, culturally distinctive coral atoll in the northern Cook Islands known for its traditional Polynesian lifestyle and unique language dialect.
  • D. Date Book
    Date Book is a built-in personal information management application for Palm OS devices, used primarily for scheduling appointments and managing calendars.
  • E. Bok
    Bok is one of the dialects of the Sabaot language spoken by the Sabaot people of East Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d20ef48190ab9f70d4ce5f2a11 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93457af7c819090f576ae606c5849 completed April 10, 2026, 5:33 p.m.
Created at: April 6, 2026, 12:33 p.m.