Triple
T10479976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Kisāʾī |
E247144
|
entity |
| Predicate | nisba |
P637
|
FINISHED |
| Object | al-Kisāʾī |
E247144
|
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: al-Kisāʾī | Statement: [Al-Kisāʾī, nisba, al-Kisāʾī]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Kisāʾī Context triple: [Al-Kisāʾī, nisba, al-Kisāʾī]
-
A.
Al-Kisāʾī
chosen
Al-Kisāʾī was a prominent early Arabic grammarian and Qurʾān reciter, renowned as one of the leading scholars of the Kufan linguistic tradition.
-
B.
Belqasim
Belqasim is a personal given name of Arabic origin, used primarily in North African and Middle Eastern cultures.
-
C.
Al-Jaghbub
Al-Jaghbub is a remote oasis town in eastern Libya historically known as a center of Islamic scholarship and the birthplace of King Idris I.
-
D.
Al-Chibayish
Al-Chibayish is a town in southern Iraq known for its location within the Mesopotamian Marshes and its traditional Marsh Arab culture.
-
E.
El Quseyya
El Quseyya is a city in Upper Egypt situated along the Nile within the Asyut Governorate.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095b2ec881909e1220d83e750a75 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a02aa2748190902f5c08afd7dda9 |
completed | April 10, 2026, 7 a.m. |
Created at: April 6, 2026, 12:22 p.m.