Triple
T530558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatra National Park |
E12212
|
entity |
| Predicate | containsFeature |
P182
|
FINISHED |
| Object |
Dolina Kościeliska
Dolina Kościeliska is a popular scenic valley in the Polish Tatra Mountains, known for its dramatic limestone gorges, caves, and hiking trails.
|
E66464
|
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: Dolina Kościeliska | Statement: [Tatra National Park, containsFeature, Dolina Kościeliska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolina Kościeliska Context triple: [Tatra National Park, containsFeature, Dolina Kościeliska]
-
A.
Sucha Beskidzka
Sucha Beskidzka is a small historic town in southern Poland, known for its picturesque Beskid mountain setting and its Renaissance-style castle.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
D.
Skarżysko-Kamienna
Skarżysko-Kamienna is a town in south-central Poland known for its industrial heritage and location in the Świętokrzyskie Voivodeship.
-
E.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
- 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: Dolina Kościeliska Triple: [Tatra National Park, containsFeature, Dolina Kościeliska]
Generated description
Dolina Kościeliska is a popular scenic valley in the Polish Tatra Mountains, known for its dramatic limestone gorges, caves, and hiking trails.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dolina Kościeliska Target entity description: Dolina Kościeliska is a popular scenic valley in the Polish Tatra Mountains, known for its dramatic limestone gorges, caves, and hiking trails.
-
A.
Sucha Beskidzka
Sucha Beskidzka is a small historic town in southern Poland, known for its picturesque Beskid mountain setting and its Renaissance-style castle.
-
B.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
C.
Bochnia
Bochnia is a historic town in southern Poland best known for its medieval salt mine, one of the oldest in Europe.
-
D.
Skarżysko-Kamienna
Skarżysko-Kamienna is a town in south-central Poland known for its industrial heritage and location in the Świętokrzyskie Voivodeship.
-
E.
Trzebinia
Trzebinia is a town in southern Poland known for its industrial character and location between Kraków and Katowice.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a494dda58c8190870305056838a2b2 |
completed | March 1, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b8add810819095f071caca108e10 |
completed | March 1, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69a4b9bb6c30819088d4d3cfab10408c |
completed | March 1, 2026, 10:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4ba8630508190b6ba32ad0aef2cd2 |
completed | March 1, 2026, 10:15 p.m. |
Created at: March 1, 2026, 7:32 p.m.