Triple
T16985336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinega River |
E412049
|
entity |
| Predicate | hasSettlementOnBank |
P1010
|
FINISHED |
| Object |
Karpogory
Karpogory is a rural locality in northern Russia, serving as an administrative center in Arkhangelsk Oblast along the Pinega River.
|
E1244306
|
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: Karpogory | Statement: [Pinega River, hasSettlementOnBank, Karpogory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karpogory Context triple: [Pinega River, hasSettlementOnBank, Karpogory]
-
A.
Koropi
Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
-
B.
Khopyor
Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
-
C.
Olenka
Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
-
D.
Zakopianka
Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
-
E.
Orlovika
Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
- 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: Karpogory Triple: [Pinega River, hasSettlementOnBank, Karpogory]
Generated description
Karpogory is a rural locality in northern Russia, serving as an administrative center in Arkhangelsk Oblast along the Pinega River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karpogory Target entity description: Karpogory is a rural locality in northern Russia, serving as an administrative center in Arkhangelsk Oblast along the Pinega River.
-
A.
Koropi
Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
-
B.
Khopyor
Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
-
C.
Olenka
Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
-
D.
Zakopianka
Zakopianka is a major Polish road corridor connecting Kraków with the mountain resort town of Zakopane, serving as a primary route to the Tatra Mountains.
-
E.
Orlovika
Orlovika is an alternative name for the Orlov Revolt, an 18th-century Greek uprising against Ottoman rule encouraged by Russia during the Russo-Turkish War.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18af95c8190a25ef0614e1a17f3 |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1109a081908890bbd5958c76c2 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d5aeb0819086f1a5d279ac0d0f |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c583608190bf07ac205399f253 |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:32 a.m.