Triple
T12779037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess Joanna Zaria of Orange-Nassau |
E305453
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zaria |
E65252
|
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: Zaria | Statement: [Countess Joanna Zaria of Orange-Nassau, givenName, Zaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaria Context triple: [Countess Joanna Zaria of Orange-Nassau, givenName, Zaria]
-
A.
Zaria
chosen
Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
-
B.
Yasmine City
Yasmine City is a modern seaside resort area in Hammamet, Tunisia, known for its hotels, marina, beaches, and tourist attractions.
-
C.
Taybeh
Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
-
D.
Jabi
Jabi is a prominent district in Abuja, Nigeria, known for its residential areas, commercial centers, and the popular Jabi Lake and Jabi Lake Mall.
-
E.
Hadiyya
Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5a5680819095dcd491486d23e7 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ebc75bc81908bad7fb06af674a9 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:29 p.m.