Triple
T909729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montenegro |
E19630
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
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.
|
E142587
|
NE FINISHED |
How this triple was built (4 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: Herceg Novi | Statement: [Montenegro, hasCity, Herceg Novi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herceg Novi Context triple: [Montenegro, hasCity, Herceg Novi]
-
A.
Podgorica
Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
-
B.
Niš
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.
-
C.
Zadar
Zadar is a historic coastal city in Croatia on the Adriatic Sea, known for its Roman and Venetian ruins, medieval churches, and modern seaside installations like the Sea Organ.
-
D.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
-
E.
Rijeka
Rijeka is a significant Croatian port city on the Adriatic Sea, known for its maritime industry, cultural heritage, and role as a key transport hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Herceg Novi Triple: [Montenegro, hasCity, Herceg Novi]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herceg Novi Target entity description: 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.
-
A.
Podgorica
Podgorica is the capital and largest city of Montenegro, serving as its political, economic, and cultural center in the Balkans.
-
B.
Niš
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.
-
C.
Zadar
Zadar is a historic coastal city in Croatia on the Adriatic Sea, known for its Roman and Venetian ruins, medieval churches, and modern seaside installations like the Sea Organ.
-
D.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
-
E.
Rijeka
Rijeka is a significant Croatian port city on the Adriatic Sea, known for its maritime industry, cultural heritage, and role as a key transport hub.
- F. None of above. chosen
Provenance (5 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2dca5208190bc9f17cd9dd6a98f |
completed | March 1, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f62a0c481909186e09aa914a029 |
completed | March 7, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69ac90675b608190a2b4f2b128f7ff71 |
completed | March 7, 2026, 8:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac915a9f588190b7848d436fd70d7b |
completed | March 7, 2026, 8:58 p.m. |
Created at: March 1, 2026, 7:39 p.m.