Triple
T16705171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beočin |
E405948
|
entity |
| Predicate | locatedInHistoricalRegion |
P915
|
FINISHED |
| Object | Srem |
E598136
|
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: Srem | Statement: [Beočin, locatedInHistoricalRegion, Srem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srem Context triple: [Beočin, locatedInHistoricalRegion, Srem]
-
A.
Srem
chosen
Srem is a historical region in the Pannonian Plain, spanning parts of present-day Serbia and Croatia between the Danube and Sava rivers.
-
B.
Sremčica
Sremčica is a suburban neighborhood and settlement of Belgrade, Serbia, located within the municipality of Čukarica.
-
C.
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.
-
D.
Smiljan
Smiljan is a village in modern-day Croatia best known as the birthplace of inventor Nikola Tesla.
-
E.
Vrbanja
Vrbanja is a river in Bosnia and Herzegovina that flows through central parts of the country before joining the Vrbas River.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383355f908190be467a12079b3d6f |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d38a1348190bf51af9847a16aa5 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:19 a.m.