Triple

T4835809
Position Surface form Disambiguated ID Type / Status
Subject Abdiyya bint Abdullah E108055 entity
Predicate givenName P17 FINISHED
Object Abdiyya
Abdiyya is a female given name of Arabic origin, used in contexts such as royal and historical figures in the Arab world.
E472744 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: Abdiyya | Statement: [Abdiyya bint Abdullah, givenName, Abdiyya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdiyya
Context triple: [Abdiyya bint Abdullah, givenName, Abdiyya]
  • A. Alamata
    Alamata is a town in northern Ethiopia that serves as a local commercial and administrative center in the southern part of the Tigray Region.
  • B. Doukkala-Abda
    Doukkala-Abda was a former administrative region of western Morocco, known for its Atlantic coastline, agricultural plains, and historic cities such as Safi and El Jadida.
  • C. Adalaj
    Adalaj is a village near Ahmedabad in Gujarat, India, best known for its intricately carved 15th-century stepwell that is a significant example of Indo-Islamic architecture.
  • D. Dakhla
    Dakhla is a coastal city in Western Sahara known for its strategic Atlantic location, fishing industry, and popularity as a wind- and kitesurfing destination.
  • E. Nador
    Nador is a coastal city in northeastern Morocco known as an important commercial and fishing port on the Mediterranean.
  • 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: Abdiyya
Triple: [Abdiyya bint Abdullah, givenName, Abdiyya]
Generated description
Abdiyya is a female given name of Arabic origin, used in contexts such as royal and historical figures in the Arab world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abdiyya
Target entity description: Abdiyya is a female given name of Arabic origin, used in contexts such as royal and historical figures in the Arab world.
  • A. Alamata
    Alamata is a town in northern Ethiopia that serves as a local commercial and administrative center in the southern part of the Tigray Region.
  • B. Doukkala-Abda
    Doukkala-Abda was a former administrative region of western Morocco, known for its Atlantic coastline, agricultural plains, and historic cities such as Safi and El Jadida.
  • C. Adalaj
    Adalaj is a village near Ahmedabad in Gujarat, India, best known for its intricately carved 15th-century stepwell that is a significant example of Indo-Islamic architecture.
  • D. Dakhla
    Dakhla is a coastal city in Western Sahara known for its strategic Atlantic location, fishing industry, and popularity as a wind- and kitesurfing destination.
  • E. Nador
    Nador is a coastal city in northeastern Morocco known as an important commercial and fishing port on the Mediterranean.
  • 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_69bd43fbe444819085cb970706ef73f7 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ce00cd48190a675fb75eae152c2 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dda71e08190a28215f91405a4e1 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e7718708190a5eccce7ac124068 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f27f5a48190b639c9212e46f21d completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:25 p.m.