Triple
T17162247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Drin |
E416508
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Struga |
E400598
|
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: Struga | Statement: [Black Drin, nearbyCity, Struga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Struga Context triple: [Black Drin, nearbyCity, Struga]
-
A.
Struga
chosen
Struga is a town in southwestern North Macedonia known for its location on the shores of Lake Ohrid and its annual international poetry festival.
-
B.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
-
C.
Brda
Brda is a river in northern Poland that flows through the Pomeranian region and is known for its scenic landscapes and popular kayaking routes.
-
D.
Brda
Brda is a picturesque wine-growing municipality in western Slovenia, renowned for its rolling hills, vineyards, and traditional villages near the Italian border.
-
E.
Rostuša
Rostuša is a mountain village in western North Macedonia, situated within the scenic and protected area of Mavrovo National Park.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91258648190a40396067ba5ecd3 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170e5d38881908d6f57a8bd60c930 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:37 a.m.