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.