Triple
T6843543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klyazma River |
E157834
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Volodarsk
Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
|
E657316
|
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: Volodarsk | Statement: [Klyazma River, flowsThrough, Volodarsk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volodarsk Context triple: [Klyazma River, flowsThrough, Volodarsk]
-
A.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
B.
Volzhsk
Volzhsk is an industrial city in the Republic of Mari El, Russia, located on the Volga River and known for its manufacturing and river transport significance.
-
C.
Zhigulevsk
Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
-
D.
Zvenigorod
Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
-
E.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
- 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: Volodarsk Triple: [Klyazma River, flowsThrough, Volodarsk]
Generated description
Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Volodarsk Target entity description: Volodarsk is a town in Nizhny Novgorod Oblast, Russia, known for its location along the Klyazma River and its industrial character.
-
A.
Votkinsk
Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
-
B.
Volzhsk
Volzhsk is an industrial city in the Republic of Mari El, Russia, located on the Volga River and known for its manufacturing and river transport significance.
-
C.
Zhigulevsk
Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
-
D.
Zvenigorod
Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
-
E.
Ivangorod
Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b7179481909e3482fef47b2719 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eeb79b9c819084738c207aa5c62d |
completed | March 28, 2026, 3:07 p.m. |
| NEDg | Description generation | batch_69c7efece4708190b27d973bce45f389 |
completed | March 28, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f08355408190a6efdcf66fd3988e |
completed | March 28, 2026, 3:15 p.m. |
Created at: March 27, 2026, 2:19 p.m.