Triple
T13716926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignacy Krasicki |
E328924
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Dubiecko
Dubiecko is a small historic town in southeastern Poland, known as the birthplace of Enlightenment-era poet and bishop Ignacy Krasicki.
|
E1058252
|
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: Dubiecko | Statement: [Ignacy Krasicki, placeOfBirth, Dubiecko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubiecko Context triple: [Ignacy Krasicki, placeOfBirth, Dubiecko]
-
A.
Kabaty
Kabaty is a residential neighborhood in the southern part of Warsaw, Poland, known for its proximity to the Kabaty Forest and as the terminus area of the city’s first metro line.
-
B.
Chrudimka
Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
-
C.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
-
D.
Krompachy
Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
-
E.
Bečkerek
Bečkerek is the historical name of the Serbian city now known as Zrenjanin, located in the Banat region of the Vojvodina province.
- 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: Dubiecko Triple: [Ignacy Krasicki, placeOfBirth, Dubiecko]
Generated description
Dubiecko is a small historic town in southeastern Poland, known as the birthplace of Enlightenment-era poet and bishop Ignacy Krasicki.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dubiecko Target entity description: Dubiecko is a small historic town in southeastern Poland, known as the birthplace of Enlightenment-era poet and bishop Ignacy Krasicki.
-
A.
Kabaty
Kabaty is a residential neighborhood in the southern part of Warsaw, Poland, known for its proximity to the Kabaty Forest and as the terminus area of the city’s first metro line.
-
B.
Chrudimka
Chrudimka is a river in the Czech Republic that flows through the Pardubice Region and is a tributary of the Elbe.
-
C.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
-
D.
Krompachy
Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
-
E.
Bečkerek
Bečkerek is the historical name of the Serbian city now known as Zrenjanin, located in the Banat region of the Vojvodina province.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5878948190a2aaab2ba31bd1ed |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e9e6ff88190b031fb1403cacabc |
completed | May 3, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2d6e7ec81908a4cbc324e793c24 |
completed | May 3, 2026, 7:32 p.m. |
Created at: April 9, 2026, 9:54 p.m.