Triple
T1577674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Podgorica |
E33689
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object | Podgorica Municipality |
E33689
|
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: Podgorica Municipality | Statement: [Podgorica, locatedInMunicipality, Podgorica Municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Podgorica Municipality Context triple: [Podgorica, locatedInMunicipality, Podgorica Municipality]
-
A.
Podgorica
chosen
Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
-
B.
Herceg Novi
Herceg Novi is a coastal town in western Montenegro known for its historic old town, fortresses, and scenic location at the entrance to the Bay of Kotor.
-
C.
Cetinje
Cetinje is a historic town in Montenegro that served as the country’s old royal capital and cultural center.
-
D.
Sarajevo Canton
Sarajevo Canton is an administrative region in central Bosnia and Herzegovina that encompasses the country’s capital city, Sarajevo, and its surrounding metropolitan area.
-
E.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908d571f081908acec43ff2ef112d |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad719f91cc8190aaacaa583098732a |
completed | March 8, 2026, 12:54 p.m. |
Created at: March 4, 2026, 7:27 p.m.