Triple
T19827891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Theatre in Šabac |
E476374
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Mačva |
—
|
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: Mačva | Statement: [National Theatre in Šabac, regionServed, Mačva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mačva Context triple: [National Theatre in Šabac, regionServed, Mačva]
-
A.
Moslavina
Moslavina is a historical and geographical region in central Croatia known for its rural landscapes, vineyards, and small towns.
-
B.
Vranje
Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
-
C.
Мачва
chosen
Мачва is a historical and geographical region in northwestern Serbia, situated between the Sava and Drina rivers and known for its fertile plains and agricultural significance.
-
D.
Baščaršija
Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
-
E.
Bileća
Bileća is a small town and municipality in southeastern Bosnia and Herzegovina, known for its nearby artificial lake and karst landscape.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cc0f2c81908137caa4c2087027 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.