Triple
T4820654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Oblast |
E107701
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Vyazniki
Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
|
E471237
|
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: Vyazniki | Statement: [Vladimir Oblast, hasTown, Vyazniki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vyazniki Context triple: [Vladimir Oblast, hasTown, Vyazniki]
-
A.
Mishenka
Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
-
B.
Manevychi
Manevychi is a small urban-type settlement in northwestern Ukraine, situated within Volyn Oblast and known for its surrounding forests and lakes.
-
C.
Lastochka
Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
-
D.
Ropsha
Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
-
E.
Rasskazovka
Rasskazovka is a western terminus station of the Moscow Metro, serving the Kalininsko–Solntsevskaya Line in the Solntsevo District of Moscow, Russia.
- 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: Vyazniki Triple: [Vladimir Oblast, hasTown, Vyazniki]
Generated description
Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vyazniki Target entity description: Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
-
A.
Mishenka
Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
-
B.
Manevychi
Manevychi is a small urban-type settlement in northwestern Ukraine, situated within Volyn Oblast and known for its surrounding forests and lakes.
-
C.
Lastochka
Lastochka is a modern Russian electric multiple-unit passenger train brand used primarily for high-speed suburban and regional services.
-
D.
Ropsha
Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
-
E.
Rasskazovka
Rasskazovka is a western terminus station of the Moscow Metro, serving the Kalininsko–Solntsevskaya Line in the Solntsevo District of Moscow, Russia.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c98358081908ed43425af667a98 |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dc02118819093f4dfad16c6085f |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4e38bccc81909102f922fd395568 |
completed | March 21, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4ea8fa708190909e26268b49b678 |
completed | March 21, 2026, 7:54 a.m. |
Created at: March 20, 2026, 1:24 p.m.