Triple
T15729128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Morava |
E381293
|
entity |
| Predicate | majorTributary |
P415
|
FINISHED |
| Object |
Pusta Reka
Pusta Reka is a river in southern Serbia that flows through a rural valley before joining the South Morava.
|
E1174066
|
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: Pusta Reka | Statement: [South Morava, majorTributary, Pusta Reka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pusta Reka Context triple: [South Morava, majorTributary, Pusta Reka]
-
A.
Shastina
Shastina is a prominent satellite cone and secondary peak on the western flank of California’s Mount Shasta, formed by later volcanic activity.
-
B.
Gogra
Gogra is an alternative name for Kauriala, a locality whose identity is primarily tied to this regional designation.
-
C.
Goghat
Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly region.
-
D.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
-
E.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
- 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: Pusta Reka Triple: [South Morava, majorTributary, Pusta Reka]
Generated description
Pusta Reka is a river in southern Serbia that flows through a rural valley before joining the South Morava.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pusta Reka Target entity description: Pusta Reka is a river in southern Serbia that flows through a rural valley before joining the South Morava.
-
A.
Shastina
Shastina is a prominent satellite cone and secondary peak on the western flank of California’s Mount Shasta, formed by later volcanic activity.
-
B.
Gogra
Gogra is an alternative name for Kauriala, a locality whose identity is primarily tied to this regional designation.
-
C.
Goghat
Goghat is a town in West Bengal, India, known primarily as a rural administrative and agricultural center within the Hooghly region.
-
D.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
-
E.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb4cc0081909efe330339474017 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82fcb4e4819097bd0591bbcc3b71 |
completed | May 9, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_69ff83ca33d08190816130bf2ea735df |
completed | May 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff846436e48190b711da134c9a3b81 |
completed | May 9, 2026, 7 p.m. |
Created at: April 10, 2026, 4:46 a.m.