Triple
T4083321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autonomous Province of Vojvodina |
E87528
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Srem |
E200346
|
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: [Autonomous Province of Vojvodina, hasRegion, Srem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srem Context triple: [Autonomous Province of Vojvodina, hasRegion, Srem]
-
A.
Smiljan
Smiljan is a village in modern-day Croatia best known as the birthplace of inventor Nikola Tesla.
-
B.
Baščaršija
Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
-
C.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
D.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
E.
Syrmia
chosen
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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7933b481909bb3e02c6c04c8ee |
completed | March 9, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562c6456081908cca823ebb13936a |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:39 p.m.