Triple
T5803667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Świętokrzyskie Mountains |
E128687
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object |
Nowa Słupia
Nowa Słupia is a small town in south-central Poland known as a gateway to the Świętokrzyskie Mountains and the Święty Krzyż (Holy Cross) monastery area.
|
E669576
|
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: Nowa Słupia | Statement: [Świętokrzyskie Mountains, nearCity, Nowa Słupia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nowa Słupia Context triple: [Świętokrzyskie Mountains, nearCity, Nowa Słupia]
-
A.
Nowa Dęba
Nowa Dęba is a small town in southeastern Poland, known for its industrial traditions and location in the Subcarpathian Voivodeship.
-
B.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
-
C.
Wołosate
Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
-
D.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
E.
Słupia
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
- 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: Nowa Słupia Triple: [Świętokrzyskie Mountains, nearCity, Nowa Słupia]
Generated description
Nowa Słupia is a small town in south-central Poland known as a gateway to the Świętokrzyskie Mountains and the Święty Krzyż (Holy Cross) monastery area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nowa Słupia Target entity description: Nowa Słupia is a small town in south-central Poland known as a gateway to the Świętokrzyskie Mountains and the Święty Krzyż (Holy Cross) monastery area.
-
A.
Nowa Dęba
Nowa Dęba is a small town in southeastern Poland, known for its industrial traditions and location in the Subcarpathian Voivodeship.
-
B.
Mrągowo
Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
-
C.
Wołosate
Wołosate is a small village in southeastern Poland’s Bieszczady Mountains, known as a remote hiking base and the terminus of the Main Beskid Trail.
-
D.
Łęczna
Łęczna is a town in eastern Poland known for its location near the Lublin Coal Basin and as a local administrative and service center.
-
E.
Słupia
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
- 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02ad11cf0819094d8f9e4aaf099a2 |
completed | March 22, 2026, 5:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845c232188190a3391ce5159f49bb |
completed | March 28, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69c846d0b1348190bc2bf23e75c535a9 |
completed | March 28, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84748b8988190b4f85c253ea9e403 |
completed | March 28, 2026, 9:25 p.m. |
Created at: March 22, 2026, 3:52 p.m.