Triple
T2530254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oka River |
E56140
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Murom
Murom is an ancient Russian city in Vladimir Oblast, known as one of the oldest settlements in Russia and a historic center of Eastern Orthodox culture.
|
E354656
|
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: Murom | Statement: [Oka River, flowsThrough, Murom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murom Context triple: [Oka River, flowsThrough, Murom]
-
A.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
-
B.
Penza
Penza is a city in western Russia known as a regional cultural and industrial center.
-
C.
Pereiaslavl
Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
-
D.
Voronezh
Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
-
E.
Kostroma
Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
- 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: Murom Triple: [Oka River, flowsThrough, Murom]
Generated description
Murom is an ancient Russian city in Vladimir Oblast, known as one of the oldest settlements in Russia and a historic center of Eastern Orthodox culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Murom Target entity description: Murom is an ancient Russian city in Vladimir Oblast, known as one of the oldest settlements in Russia and a historic center of Eastern Orthodox culture.
-
A.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
-
B.
Penza
Penza is a city in western Russia known as a regional cultural and industrial center.
-
C.
Pereiaslavl
Pereiaslavl was one of the principal urban centers of Kyivan Rus, serving as an important political, military, and cultural hub in medieval Eastern Europe.
-
D.
Voronezh
Voronezh is a major city in southwestern Russia, situated on the Voronezh River and serving as an important cultural, industrial, and transportation center.
-
E.
Kostroma
Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
- 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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd276930c8190bd46b52e06b7098e |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34ba6d2cc819091d748b8af7ccbe6 |
completed | March 12, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69b34e44bd748190a9c6c67be6bcb9de |
completed | March 12, 2026, 11:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b34ed57bf0819080fa0eb8e6875cb6 |
completed | March 12, 2026, 11:40 p.m. |
Created at: March 6, 2026, 9:46 p.m.