Triple

T10337213
Position Surface form Disambiguated ID Type / Status
Subject al-Kitāb E243038 entity
Predicate originalTitle P65 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: [al-Kitāb, originalTitle, الكتاب]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: الكتاب
Context triple: [al-Kitāb, originalTitle, 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 the surname of Mary Louise Curtis Bok, an American philanthropist and founder of the Curtis Institute of Music.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a3a8e4819097268ce101dec2d1 completed April 7, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7505b85048190ad69a4fb5c63c677 completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:54 a.m.