Triple
T14497680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unzha River |
E359544
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Makaryev
Makaryev is a small historic town in Kostroma Oblast, Russia, situated along the Unzha River and known for its former monastery and regional trading significance.
|
E1101901
|
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: Makaryev | Statement: [Unzha River, passesNear, Makaryev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makaryev Context triple: [Unzha River, passesNear, Makaryev]
-
A.
Kosmach
Kosmach is a rural village located in western Ukraine’s Ivano-Frankivsk Oblast, known for its traditional Hutsul culture and Carpathian mountain scenery.
-
B.
Vyazemsky
Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
-
C.
Melnik
Melnik is a small historic town in southwestern Bulgaria, renowned for its distinctive sandstone pyramids, traditional architecture, and local wine production.
-
D.
Yezernitsky
Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
-
E.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
- 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: Makaryev Triple: [Unzha River, passesNear, Makaryev]
Generated description
Makaryev is a small historic town in Kostroma Oblast, Russia, situated along the Unzha River and known for its former monastery and regional trading significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makaryev Target entity description: Makaryev is a small historic town in Kostroma Oblast, Russia, situated along the Unzha River and known for its former monastery and regional trading significance.
-
A.
Kosmach
Kosmach is a rural village located in western Ukraine’s Ivano-Frankivsk Oblast, known for its traditional Hutsul culture and Carpathian mountain scenery.
-
B.
Vyazemsky
Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
-
C.
Melnik
Melnik is a small historic town in southwestern Bulgaria, renowned for its distinctive sandstone pyramids, traditional architecture, and local wine production.
-
D.
Yezernitsky
Yezernitsky is a Jewish surname most notably associated with Yitzhak Shamir, the former Prime Minister of Israel, who was born Yitzhak Yezernitsky.
-
E.
Lukyanov
Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9311cc748190880c784f173b7f2b |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d99a7948190a3ff01e7b74aaa1e |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6eb86d1881908a326d448cf479da |
completed | May 8, 2026, 5:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f6c62088190a1ecaf0995e3f112 |
completed | May 8, 2026, 5:06 a.m. |
Created at: April 10, 2026, 1:21 a.m.