Triple
T5120340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sokołówka River |
E115444
|
entity |
| Predicate | nameInPolish |
P15778
|
FINISHED |
| Object |
Sokołówka
Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
|
E508209
|
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: Sokołówka | Statement: [Sokołówka River, nameInPolish, Sokołówka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sokołówka Context triple: [Sokołówka River, nameInPolish, Sokołówka]
-
A.
Sokółka
Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Koserow
Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
-
D.
Srokowo
Srokowo is a small town in northern Poland, located in the Warmian-Masurian Voivodeship near the border with Russia’s Kaliningrad Oblast.
-
E.
Nowogródek
Nowogródek is a historic town in present-day western Belarus, formerly part of the Polish eastern borderlands (Kresy), known for its multicultural heritage and association with the poet Adam Mickiewicz.
- 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: Sokołówka Triple: [Sokołówka River, nameInPolish, Sokołówka]
Generated description
Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sokołówka Target entity description: Sokołówka is a small river in Poland known for flowing through the city of Łódź and its surrounding areas.
-
A.
Sokółka
Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
-
B.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
C.
Koserow
Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
-
D.
Srokowo
Srokowo is a small town in northern Poland, located in the Warmian-Masurian Voivodeship near the border with Russia’s Kaliningrad Oblast.
-
E.
Nowogródek
Nowogródek is a historic town in present-day western Belarus, formerly part of the Polish eastern borderlands (Kresy), known for its multicultural heritage and association with the poet Adam Mickiewicz.
- 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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78015ad88190a3e51da494c19e30 |
completed | March 20, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06a25110819080a4cbd13555e652 |
completed | March 21, 2026, 8:59 p.m. |
| NEDg | Description generation | batch_69bf078fc07c819080191ec98bca4c71 |
completed | March 21, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf07e20ad48190ba25294e1971e768 |
completed | March 21, 2026, 9:04 p.m. |
Created at: March 20, 2026, 1:42 p.m.