Triple
T22834497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmina Nowy Korczyn |
E565905
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Oblekoń
Oblekoń is a village in south-central Poland located within the administrative district of Gmina Nowy Korczyn in the Świętokrzyskie Voivodeship.
|
E1556851
|
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: Oblekoń | Statement: [Gmina Nowy Korczyn, containsSettlement, Oblekoń]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oblekoń Context triple: [Gmina Nowy Korczyn, containsSettlement, Oblekoń]
-
A.
Grobelny
Grobelny is a Polish surname most notably associated with Julian Grobelny, a resistance activist and rescuer of Jews during World War II.
-
B.
Odeborn
Odeborn is a river in Germany that flows through the Rothaar Mountains and joins the Eder as one of its tributaries.
-
C.
Morawa
Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
-
D.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
E.
Sekuła
Sekuła is a Polish surname most notably borne by Andrzej Sekuła, a cinematographer and film director known for his work on influential independent films.
- 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: Oblekoń Triple: [Gmina Nowy Korczyn, containsSettlement, Oblekoń]
Generated description
Oblekoń is a village in south-central Poland located within the administrative district of Gmina Nowy Korczyn in the Świętokrzyskie Voivodeship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oblekoń Target entity description: Oblekoń is a village in south-central Poland located within the administrative district of Gmina Nowy Korczyn in the Świętokrzyskie Voivodeship.
-
A.
Grobelny
Grobelny is a Polish surname most notably associated with Julian Grobelny, a resistance activist and rescuer of Jews during World War II.
-
B.
Odeborn
Odeborn is a river in Germany that flows through the Rothaar Mountains and joins the Eder as one of its tributaries.
-
C.
Morawa
Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
-
D.
Biegun
Biegun is a Polish surname borne by various individuals, including figures in politics, academia, and the arts.
-
E.
Sekuła
Sekuła is a Polish surname most notably borne by Andrzej Sekuła, a cinematographer and film director known for his work on influential independent films.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2e3e7481909d12dc5008136880 |
completed | April 29, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7aff6c88190a6de35b5c784b8e5 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8cdb0d48190b2215ef9f2d5ccb3 |
completed | May 19, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba98d8adc8190ba5f7a542bb08f9f |
completed | May 19, 2026, 12:06 a.m. |
Created at: April 17, 2026, 3:35 p.m.