Triple
T9054461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeugitana |
E216962
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Byzacena |
E216961
|
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: Byzacena | Statement: [Zeugitana, borderedBy, Byzacena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byzacena Context triple: [Zeugitana, borderedBy, Byzacena]
-
A.
Byzacena
chosen
Byzacena was a Roman province in North Africa, centered in what is now central and eastern Tunisia, known for its agricultural productivity and important cities such as Hadrumetum.
-
B.
Bahdini
Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
-
C.
Borzna
Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
-
D.
Bessas
Bessas was a prominent 6th-century Byzantine general under Emperor Justinian I, noted for his role in the Gothic and Lazic Wars.
-
E.
Regalica
Regalica is a major distributary of the Oder River in northwestern Poland, flowing through Szczecin and connecting regional waterways including Dąbie Lake.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a72e2dc8190a16deff8abe701b1 |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebdb01a8819084365c9b73506a28 |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.