Triple
T4875619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šabac District |
E109195
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Macva region |
E442903
|
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: Macva region | Statement: [Šabac District, partOf, Macva region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macva region Context triple: [Šabac District, partOf, Macva region]
-
A.
Struga region
The Struga region is an area in southwestern North Macedonia known for its lakeside town of Struga on Lake Ohrid, rich cultural traditions, and natural landscapes.
-
B.
Pocerina region
chosen
Pocerina region is a geographical area in western Serbia known for its rolling hills, rural landscapes, and proximity to the Mačva lowlands.
-
C.
Posavina region
The Posavina region is a geographical area along the Sava River in Southeast Europe, spanning parts of several countries and known for its fertile plains and riverine landscapes.
-
D.
Lika region
The Lika region is a mountainous and sparsely populated area of central Croatia known for its karst landscapes, forests, and traditional rural culture.
-
E.
Taunus region
The Taunus region is a low mountain range in Hesse, Germany, known for its forested hills, spa towns, and historical castles overlooking the Rhine-Main area.
- 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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dba3efc8190adcf8b30490b4984 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67f90e848190a36eee1e670657e4 |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:27 p.m.