Triple
T1716591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naissus |
E37303
|
entity |
| Predicate | locatedInPresentDay |
P40
|
FINISHED |
| Object | Niš |
E103811
|
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: Niš | Statement: [Naissus, locatedInPresentDay, Niš]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niš Context triple: [Naissus, locatedInPresentDay, Niš]
-
A.
Niš
chosen
Niš is one of the largest and oldest cities in Serbia, known as a key cultural, economic, and transportation hub in the southern part of the country.
-
B.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
-
C.
Titograd
Titograd was the name of Montenegro’s capital city during the socialist Yugoslav era, before it was renamed Podgorica in 1992.
-
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.
Zemun
Zemun is a historic urban municipality of Belgrade, Serbia, known for its preserved old town, Danube riverfront, and distinctive Central European architectural heritage.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63362ba481909e08e9f6fbf00b37 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3b9a2f4819082ca2e9f838f7b9e |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:30 p.m.