Triple
T9251377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iława |
E222330
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Jeziorak
Jeziorak is a long, narrow lake in northern Poland, known as one of the country's largest and a popular destination for water sports and recreation.
|
E787635
|
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: Jeziorak | Statement: [Iława, hasLake, Jeziorak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeziorak Context triple: [Iława, hasLake, Jeziorak]
-
A.
Jezer
Jezer is a minor biblical figure mentioned in the Hebrew Bible as one of the descendants associated with the tribe of Naphtali.
-
B.
Rybi Potok
Rybi Potok is a mountain stream in the Tatra Mountains of southern Poland that drains the waters of the popular alpine lake Morskie Oko.
-
C.
Bóbrka
Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
-
D.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
E.
Fiala
Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
- 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: Jeziorak Triple: [Iława, hasLake, Jeziorak]
Generated description
Jeziorak is a long, narrow lake in northern Poland, known as one of the country's largest and a popular destination for water sports and recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeziorak Target entity description: Jeziorak is a long, narrow lake in northern Poland, known as one of the country's largest and a popular destination for water sports and recreation.
-
A.
Jezer
Jezer is a minor biblical figure mentioned in the Hebrew Bible as one of the descendants associated with the tribe of Naphtali.
-
B.
Rybi Potok
Rybi Potok is a mountain stream in the Tatra Mountains of southern Poland that drains the waters of the popular alpine lake Morskie Oko.
-
C.
Bóbrka
Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
-
D.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
E.
Fiala
Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f9ade48190ac8425a1c6f066b1 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0780650648190bc85452678268134 |
completed | April 4, 2026, 2:31 a.m. |
| NEDg | Description generation | batch_69d080275cdc8190bb900671756bacb8 |
completed | April 4, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d080c936348190a3bfda72ff5ec5c0 |
completed | April 4, 2026, 3:08 a.m. |
Created at: March 30, 2026, 7:31 p.m.