Triple
T15924269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serbian police forces |
E386166
|
entity |
| Predicate | activeInRegion |
P19850
|
FINISHED |
| Object | Sandžak |
E163891
|
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: Sandžak | Statement: [Serbian police forces, activeInRegion, Sandžak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandžak Context triple: [Serbian police forces, activeInRegion, Sandžak]
-
A.
Sandžak
chosen
Sandžak is a historically contested region in the western Balkans, straddling modern-day Serbia and Montenegro, known for its significant Bosniak population and multicultural heritage.
-
B.
Donji Vakuf
Donji Vakuf is a small town and municipality in central Bosnia and Herzegovina, known for its location in a mountainous region and its historical role as a local trading and transit center.
-
C.
Surdulica
Surdulica is a small town and municipality in southern Serbia known for its mountainous surroundings and role as a local administrative and economic center.
-
D.
Čukarica
Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
-
E.
Jurjev
Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1568424f08190bffe6ee465a0db9a |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5aba70c8190a74c45bce6f9b782 |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:52 a.m.