Triple
T19250157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amur–Yakutsk Mainline |
E481366
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object |
Nizhny Bestyakh
Nizhny Bestyakh is a settlement in the Sakha Republic of Russia, located near Yakutsk on the Lena River and serving as a key regional transport hub.
|
E1368593
|
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: Nizhny Bestyakh | Statement: [Amur–Yakutsk Mainline, terminus, Nizhny Bestyakh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nizhny Bestyakh Context triple: [Amur–Yakutsk Mainline, terminus, Nizhny Bestyakh]
-
A.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
B.
Kastornoye
Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
-
C.
Shadrinsk
Shadrinsk is a town in Kurgan Oblast, Russia, known as an industrial and cultural center in the southern Ural region.
-
D.
Nevyansk
Nevyansk is a historic town in Russia’s Ural region, best known for its 18th-century Leaning Tower of Nevyansk and its role in early Russian industrial development.
-
E.
Mtsensk
Mtsensk is a historic town in western Russia known for its literary associations and role as a local industrial and cultural center.
- 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: Nizhny Bestyakh Triple: [Amur–Yakutsk Mainline, terminus, Nizhny Bestyakh]
Generated description
Nizhny Bestyakh is a settlement in the Sakha Republic of Russia, located near Yakutsk on the Lena River and serving as a key regional transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nizhny Bestyakh Target entity description: Nizhny Bestyakh is a settlement in the Sakha Republic of Russia, located near Yakutsk on the Lena River and serving as a key regional transport hub.
-
A.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
B.
Kastornoye
Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
-
C.
Shadrinsk
Shadrinsk is a town in Kurgan Oblast, Russia, known as an industrial and cultural center in the southern Ural region.
-
D.
Nevyansk
Nevyansk is a historic town in Russia’s Ural region, best known for its 18th-century Leaning Tower of Nevyansk and its role in early Russian industrial development.
-
E.
Mtsensk
Mtsensk is a historic town in western Russia known for its literary associations and role as a local industrial and cultural center.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3001308190913e24343769be8d |
completed | April 20, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0714455568819095e063dd2b4da3ef |
completed | May 15, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0714fcd0248190a93297332599f74d |
completed | May 15, 2026, 12:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071542cf0c81908658008e0ee9fcbb |
completed | May 15, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:27 p.m.