Triple

T9347762
Position Surface form Disambiguated ID Type / Status
Subject Yaqut al-Musta‘simi E224935 entity
Predicate scriptSpecialty P51957 FINISHED
Object Tawqi‘
Tawqi‘ is a highly ornamental style of Arabic calligraphic script historically used for official documents and chancery writing.
 E793044 NE FINISHED

How this triple was built (4 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: Tawqi‘ | Statement: [Yaqut al-Musta‘simi, scriptSpecialty, Tawqi‘]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tawqi‘
Context triple: [Yaqut al-Musta‘simi, scriptSpecialty, Tawqi‘]
  • A. Dhuʼb
    Dhuʼb is a subtribe historically associated with the larger Arab tribe of Kinana.
  • B. She'eb
    She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
  • C. Zarruq
    Zarruq is the honorific title of Ahmad Zarruq, a renowned 15th-century Moroccan Sufi scholar, jurist, and reformer known for integrating Islamic law and Sufism.
  • D. Azraq
    Azraq is a town and oasis in eastern Jordan that serves as a strategic military and air force hub as well as a gateway to nearby desert and nature reserves.
  • E. Shatili
    Shatili is a historic highland village in northeastern Georgia, renowned for its medieval stone towers and fortress-like architecture nestled in the remote Khevsureti region of the Caucasus Mountains.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Tawqi‘
Triple: [Yaqut al-Musta‘simi, scriptSpecialty, Tawqi‘]
Generated description
Tawqi‘ is a highly ornamental style of Arabic calligraphic script historically used for official documents and chancery writing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tawqi‘
Target entity description: Tawqi‘ is a highly ornamental style of Arabic calligraphic script historically used for official documents and chancery writing.
  • A. Dhuʼb
    Dhuʼb is a subtribe historically associated with the larger Arab tribe of Kinana.
  • B. She'eb
    She'eb is a town in Eritrea located within the Northern Red Sea administrative region.
  • C. Zarruq
    Zarruq is the honorific title of Ahmad Zarruq, a renowned 15th-century Moroccan Sufi scholar, jurist, and reformer known for integrating Islamic law and Sufism.
  • D. Azraq
    Azraq is a town and oasis in eastern Jordan that serves as a strategic military and air force hub as well as a gateway to nearby desert and nature reserves.
  • E. Shatili
    Shatili is a historic highland village in northeastern Georgia, renowned for its medieval stone towers and fortress-like architecture nestled in the remote Khevsureti region of the Caucasus Mountains.
  • F. None of above. chosen

Provenance (5 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_69ca842993248190a79ab06968994b86 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f0f4c4c8190a94c0d44ef349d7d completed April 1, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e432106c81908ae080f37bc80f3f completed April 4, 2026, 10:13 a.m.
NEDg Description generation batch_69d0e5752a38819089b23ac52f0a6a39 completed April 4, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_69d0e64cb4dc81908cef7d729d9cfb4d completed April 4, 2026, 10:22 a.m.
Created at: March 30, 2026, 7:41 p.m.