Triple
T3206627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatra Mountains |
E67176
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Ostredok
Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
|
E335808
|
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: Ostredok | Statement: [Fatra Mountains, highestPoint, Ostredok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostredok Context triple: [Fatra Mountains, highestPoint, Ostredok]
-
A.
Náchod
Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
-
B.
Námestovo
Námestovo is a town in northern Slovakia near the Orava Reservoir, known as a local tourist and cultural center in the Orava region.
-
C.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
-
D.
Ružomberok
Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
-
E.
Komárno
Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
- 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: Ostredok Triple: [Fatra Mountains, highestPoint, Ostredok]
Generated description
Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ostredok Target entity description: Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
-
A.
Náchod
Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
-
B.
Námestovo
Námestovo is a town in northern Slovakia near the Orava Reservoir, known as a local tourist and cultural center in the Orava region.
-
C.
Ruzinov
Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
-
D.
Ružomberok
Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
-
E.
Komárno
Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa56c21c8190b6aa7c56cb15ad56 |
completed | March 8, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bcf7b2481908bc52cfa71bd313c |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b24cb0c5f0819083ea589ded12ef3b |
completed | March 12, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24d2ce888819087cc7c3f5db0e859 |
completed | March 12, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:07 p.m.