Triple
T7791038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iskar River |
E180178
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Cherni Iskar
Cherni Iskar is a mountain river in Bulgaria that forms one of the principal headwaters of the Iskar River in the Rila Mountains.
|
E693816
|
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: Cherni Iskar | Statement: [Iskar River, hasTributary, Cherni Iskar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherni Iskar Context triple: [Iskar River, hasTributary, Cherni Iskar]
-
A.
Cherven
Cherven was a significant medieval Bulgarian fortress town that served as an important military, economic, and administrative center during the Second Bulgarian Empire.
-
B.
Kamenitsa
Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
-
C.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
D.
Chardzhev
Chardzhev is the former name of the city now known as Turkmenabat, a major urban center in eastern Turkmenistan.
-
E.
Balka
Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
- 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: Cherni Iskar Triple: [Iskar River, hasTributary, Cherni Iskar]
Generated description
Cherni Iskar is a mountain river in Bulgaria that forms one of the principal headwaters of the Iskar River in the Rila Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cherni Iskar Target entity description: Cherni Iskar is a mountain river in Bulgaria that forms one of the principal headwaters of the Iskar River in the Rila Mountains.
-
A.
Cherven
Cherven was a significant medieval Bulgarian fortress town that served as an important military, economic, and administrative center during the Second Bulgarian Empire.
-
B.
Kamenitsa
Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
-
C.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
D.
Chardzhev
Chardzhev is the former name of the city now known as Turkmenabat, a major urban center in eastern Turkmenistan.
-
E.
Balka
Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae9375dcc8190a6cb696c02aeceb7 |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13b38e708190a688ce4effbf7c48 |
completed | March 31, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69cb1636b0d48190a57c2d3a7b3b41ed |
completed | March 31, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a29d2988190bb64aada0d2ef463 |
completed | March 31, 2026, 12:49 a.m. |
Created at: March 30, 2026, 4:30 p.m.