Triple
T13922324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Tatras |
E334776
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Baníkov
Baníkov is a prominent peak in Slovakia’s Western Tatras, popular with hikers for its rugged ridges and panoramic alpine views.
|
E1069712
|
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: Baníkov | Statement: [Western Tatras, contains, Baníkov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baníkov Context triple: [Western Tatras, contains, Baníkov]
-
A.
Baní
Baní is a city in the Peravia Province of the Dominican Republic, known as an important agricultural and historical center in the southern region of the country.
-
B.
Beránek
Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
-
C.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
-
D.
Znamianka
Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
-
E.
Baník
Baník is a Czech football club from Ostrava known for its passionate fan base and rich history in the country’s top league.
- 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: Baníkov Triple: [Western Tatras, contains, Baníkov]
Generated description
Baníkov is a prominent peak in Slovakia’s Western Tatras, popular with hikers for its rugged ridges and panoramic alpine views.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baníkov Target entity description: Baníkov is a prominent peak in Slovakia’s Western Tatras, popular with hikers for its rugged ridges and panoramic alpine views.
-
A.
Baní
Baní is a city in the Peravia Province of the Dominican Republic, known as an important agricultural and historical center in the southern region of the country.
-
B.
Beránek
Beránek is a Czech surname and word meaning "little lamb," commonly used as a family name in Czech-speaking regions.
-
C.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
-
D.
Znamianka
Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
-
E.
Baník
Baník is a Czech football club from Ostrava known for its passionate fan base and rich history in the country’s top league.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa5c1f481908a9d8786872f08fe |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce7ecb488190b96f67cad4b91968 |
completed | May 3, 2026, 10:38 p.m. |
| NEDg | Description generation | batch_69f9fd5b82f48190b0b89ddca25883cc |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f9fea0a9dc8190b5b65dfec9626949 |
completed | May 5, 2026, 2:28 p.m. |
Created at: April 9, 2026, 10:16 p.m.