Triple
T10720497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abida |
E252805
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Abidah |
E252805
|
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: Abidah | Statement: [Abida, nameVariant, Abidah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abidah Context triple: [Abida, nameVariant, Abidah]
-
A.
Najihah
Najihah is a feminine given name of Malay origin, notably borne by Tuanku Najihah, a former royal consort and Raja Permaisuri Agong of Malaysia.
-
B.
Buraydah
Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
-
C.
Fahdah
Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
-
D.
Abida
chosen
Abida is a minor biblical figure mentioned in the Hebrew Bible as a descendant of Abraham through Keturah and Midian.
-
E.
Sajida
Sajida is an Arabic feminine given name commonly used in the Middle East and among Muslim communities worldwide.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d42033c81908cafe500213a9da1 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb72b9ce08190a9134f3365d3f8cb |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.