Triple
T6939577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oulujoki |
E160638
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Utajoki
Utajoki is a river in northern Finland that serves as one of the tributaries feeding into the larger Oulujoki river system.
|
E628662
|
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: Utajoki | Statement: [Oulujoki, hasTributary, Utajoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utajoki Context triple: [Oulujoki, hasTributary, Utajoki]
-
A.
Vesle River
The Vesle River is a waterway in northeastern France that flows through the city of Reims and is a tributary of the Aisne River.
-
B.
Vannin
Vannin is the Manx name for the Isle of Man, a self-governing British Crown dependency in the Irish Sea.
-
C.
Ros River
The Ros River is a significant waterway in central Ukraine that flows through the Kyiv and Cherkasy regions before joining the Dnieper River.
-
D.
Vuoksi River
The Vuoksi River is a major waterway in northwestern Russia and southeastern Finland, known for connecting Lake Saimaa to Lake Ladoga and playing a key historical and economic role in the region.
-
E.
Waban
Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
- 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: Utajoki Triple: [Oulujoki, hasTributary, Utajoki]
Generated description
Utajoki is a river in northern Finland that serves as one of the tributaries feeding into the larger Oulujoki river system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Utajoki Target entity description: Utajoki is a river in northern Finland that serves as one of the tributaries feeding into the larger Oulujoki river system.
-
A.
Vesle River
The Vesle River is a waterway in northeastern France that flows through the city of Reims and is a tributary of the Aisne River.
-
B.
Vannin
Vannin is the Manx name for the Isle of Man, a self-governing British Crown dependency in the Irish Sea.
-
C.
Ros River
The Ros River is a significant waterway in central Ukraine that flows through the Kyiv and Cherkasy regions before joining the Dnieper River.
-
D.
Vuoksi River
The Vuoksi River is a major waterway in northwestern Russia and southeastern Finland, known for connecting Lake Saimaa to Lake Ladoga and playing a key historical and economic role in the region.
-
E.
Waban
Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da641ce08190a133c9ba4977755d |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7515880948190970cadd7adeda435 |
completed | March 28, 2026, 3:56 a.m. |
| NEDg | Description generation | batch_69c7524e3ef48190a78601ca290f133d |
completed | March 28, 2026, 4 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c752dca6e08190a087898d99c015ac |
completed | March 28, 2026, 4:02 a.m. |
Created at: March 27, 2026, 2:28 p.m.