Triple
T11357862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opovo municipality |
E269007
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Banat |
E165084
|
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: Banat | Statement: [Opovo municipality, region, Banat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banat Context triple: [Opovo municipality, region, Banat]
-
A.
Banat
chosen
Banat is a historical region in Central Europe, now divided among Romania, Serbia, and Hungary, known for its ethnic diversity and multicultural heritage.
-
B.
Bosconia
Bosconia is a Colombian town and municipality located in the Cesar Department, known as an important regional transport and agricultural center.
-
C.
Bolhrad
Bolhrad is a town in southwestern Ukraine known as a historical center of the Bulgarian community in the Odesa region.
-
D.
Hernici
The Hernici were an ancient Italic tribe of central Italy, known for their early alliance and later conflicts with the expanding Roman Republic.
-
E.
Syrmia
Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea419afc8190b3a93141d015ebdf |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e543b3cbd88190bb479ac88f8ca710 |
completed | April 19, 2026, 9:05 p.m. |
Created at: April 8, 2026, 9:33 p.m.