Triple
T20907494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ploučnice River |
E514841
|
entity |
| Predicate | sourceLocation |
P40
|
FINISHED |
| Object |
Osečná
Osečná is a small town in the Liberec Region of the Czech Republic, known for its surrounding natural landscapes and proximity to the Ploučnice River’s headwaters.
|
E1456505
|
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: Osečná | Statement: [Ploučnice River, sourceLocation, Osečná]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osečná Context triple: [Ploučnice River, sourceLocation, Osečná]
-
A.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
B.
Osečina
Osečina is a small town in western Serbia that serves as the local economic and cultural hub for the surrounding rural municipality.
-
C.
Seča
Seča is a small coastal settlement in southwestern Slovenia, situated near the town of Piran on the Adriatic Sea.
-
D.
Sečovce
Sečovce is a small town in eastern Slovakia known for its location in the lowland area of the Košice Region and its predominantly rural, agricultural surroundings.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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: Osečná Triple: [Ploučnice River, sourceLocation, Osečná]
Generated description
Osečná is a small town in the Liberec Region of the Czech Republic, known for its surrounding natural landscapes and proximity to the Ploučnice River’s headwaters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Osečná Target entity description: Osečná is a small town in the Liberec Region of the Czech Republic, known for its surrounding natural landscapes and proximity to the Ploučnice River’s headwaters.
-
A.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
B.
Osečina
Osečina is a small town in western Serbia that serves as the local economic and cultural hub for the surrounding rural municipality.
-
C.
Seča
Seča is a small coastal settlement in southwestern Slovenia, situated near the town of Piran on the Adriatic Sea.
-
D.
Sečovce
Sečovce is a small town in eastern Slovakia known for its location in the lowland area of the Košice Region and its predominantly rural, agricultural surroundings.
-
E.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
- 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e900ee7881909ab1046b40dca486 |
completed | April 21, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0918da64408190948113dfe2654435 |
completed | May 17, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_6a09194f440c8190aac98329720aaeb7 |
completed | May 17, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a091a1871c8819089d522e7d1dd2452 |
completed | May 17, 2026, 1:30 a.m. |
Created at: April 16, 2026, 12:47 p.m.