Triple
T15715606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Morava |
E380950
|
entity |
| Predicate | hasLeftTributary |
P415
|
FINISHED |
| Object |
Bjelica
Bjelica is a river in central Serbia that serves as a left-bank tributary of the West Morava.
|
E1172095
|
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: Bjelica | Statement: [West Morava, hasLeftTributary, Bjelica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bjelica Context triple: [West Morava, hasLeftTributary, Bjelica]
-
A.
Aleksinac
Aleksinac is a town in southern Serbia known historically for its mining industry and its strategic location along major transport routes between Niš and Belgrade.
-
B.
Bjelolasica
Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
-
C.
Laza
Laza is a village located in the Gusar District of northeastern Azerbaijan, known for its mountainous scenery and nearby waterfalls.
-
D.
Bileća
Bileća is a small town and municipality in southeastern Bosnia and Herzegovina, known for its nearby artificial lake and karst landscape.
-
E.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
- 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: Bjelica Triple: [West Morava, hasLeftTributary, Bjelica]
Generated description
Bjelica is a river in central Serbia that serves as a left-bank tributary of the West Morava.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bjelica Target entity description: Bjelica is a river in central Serbia that serves as a left-bank tributary of the West Morava.
-
A.
Aleksinac
Aleksinac is a town in southern Serbia known historically for its mining industry and its strategic location along major transport routes between Niš and Belgrade.
-
B.
Bjelolasica
Bjelolasica is a prominent mountain peak in Croatia known for its forested slopes and former ski facilities.
-
C.
Laza
Laza is a village located in the Gusar District of northeastern Azerbaijan, known for its mountainous scenery and nearby waterfalls.
-
D.
Bileća
Bileća is a small town and municipality in southeastern Bosnia and Herzegovina, known for its nearby artificial lake and karst landscape.
-
E.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f91beb08190bd91bf9306737c3b |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7581302c8190918266f04bcf2231 |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff763d40348190bf102da746420390 |
completed | May 9, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff76ec45948190bee47609c0d2fd10 |
completed | May 9, 2026, 6:03 p.m. |
Created at: April 10, 2026, 4:45 a.m.