Triple
T920432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunisian Revolution |
E19870
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Tunis |
E11662
|
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: Tunis | Statement: [Tunisian Revolution, location, Tunis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tunis Context triple: [Tunisian Revolution, location, Tunis]
-
A.
Tunis
chosen
Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
-
B.
Algiers
Algiers is the capital and largest city of Algeria, a major political, economic, and cultural center on the Mediterranean coast of North Africa.
-
C.
Sidi Bouzid
Sidi Bouzid is a town in central Tunisia known as the birthplace of the Arab Spring uprisings that began in late 2010.
-
D.
Kairouan
Kairouan is an ancient Islamic city in central Tunisia renowned for its historic mosques, traditional architecture, and status as a major center of early Muslim scholarship and pilgrimage.
-
E.
Tunis Governorate
Tunis Governorate is an administrative region in northeastern Tunisia that encompasses the nation’s capital city, Tunis, and serves as its political and economic center.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3120dbc81908362158fe3ffa889 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac599117d48190b329ec50b9a632fc |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:40 p.m.