Triple
T19016657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thibar |
E465367
|
entity |
| Predicate | governorateCapital |
P34211
|
FINISHED |
| Object | Béja |
—
|
NE NERFINISHED |
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: Béja | Statement: [Thibar, governorateCapital, Béja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Béja Context triple: [Thibar, governorateCapital, Béja]
-
A.
Béja
chosen
Béja is a historic city in northwestern Tunisia known for its agricultural importance and Roman-era heritage.
-
B.
Bou Regreg
Bou Regreg is a river in western Morocco that flows between the cities of Rabat and Salé before emptying into the Atlantic Ocean.
-
C.
Bouzeguene
Bouzeguene is a town and commune in northern Algeria, situated in the Kabylie region within Tizi Ouzou Province.
-
D.
Guellala
Guellala is a traditional pottery-making village on the Tunisian island of Djerba, known for its distinctive ceramics and cultural heritage.
-
E.
Khenchela
Khenchela is a town in northeastern Algeria known as an important urban center in the Aurès mountain region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6db04fc819094709f223e30a526 |
completed | April 20, 2026, 7:33 a.m. |
Created at: April 10, 2026, 12:02 p.m.