Triple
T5803666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Świętokrzyskie Mountains |
E128687
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object |
Bodzentyn
Bodzentyn is a small historic town in south-central Poland, known for its medieval ruins and scenic location in the Świętokrzyskie region.
|
E660041
|
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: Bodzentyn | Statement: [Świętokrzyskie Mountains, nearCity, Bodzentyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bodzentyn Context triple: [Świętokrzyskie Mountains, nearCity, Bodzentyn]
-
A.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
B.
Tuczępy
Tuczępy is a village in south-central Poland located within the Świętokrzyskie Voivodeship.
-
C.
Wejherowo
Wejherowo is a historic town in northern Poland known for its baroque Calvary complex and role as a local cultural and administrative center.
-
D.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
E.
Bukowno
Bukowno is a town in southern Poland known for its industrial character and location within the Lesser Poland Voivodeship.
- 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: Bodzentyn Triple: [Świętokrzyskie Mountains, nearCity, Bodzentyn]
Generated description
Bodzentyn is a small historic town in south-central Poland, known for its medieval ruins and scenic location in the Świętokrzyskie region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bodzentyn Target entity description: Bodzentyn is a small historic town in south-central Poland, known for its medieval ruins and scenic location in the Świętokrzyskie region.
-
A.
Muszyna
Muszyna is a spa and tourist town in southern Poland, known for its mineral springs and scenic mountain surroundings near the Slovak border.
-
B.
Tuczępy
Tuczępy is a village in south-central Poland located within the Świętokrzyskie Voivodeship.
-
C.
Wejherowo
Wejherowo is a historic town in northern Poland known for its baroque Calvary complex and role as a local cultural and administrative center.
-
D.
Brzesko
Brzesko is a town in southern Poland known for its historical architecture and regional brewing traditions.
-
E.
Bukowno
Bukowno is a town in southern Poland known for its industrial character and location within the Lesser Poland Voivodeship.
- 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_69c80294e8bc8190bfaab1d02e1640a6 |
completed | March 28, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69c804638c1481909c72e58432a4eaff |
completed | March 28, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8050e70108190b2cc0d2d30ddf139 |
completed | March 28, 2026, 4:42 p.m. |
Created at: March 22, 2026, 3:52 p.m.