Triple
T7620190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wysokie Skałki |
E172471
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Wysoka
Wysoka is a prominent peak in the Pieniny Mountains on the Polish–Slovak border, known for its scenic views and popular hiking trails.
|
E676432
|
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: Wysoka | Statement: [Wysokie Skałki, alsoKnownAs, Wysoka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wysoka Context triple: [Wysokie Skałki, alsoKnownAs, Wysoka]
-
A.
Hoch
Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
-
B.
Augst
Augst is a municipality in the canton of Basel-Landschaft in northern Switzerland, known for its proximity to the ancient Roman site of Augusta Raurica.
-
C.
HIGH PEAK
HIGH PEAK is a local government district in Derbyshire, England, known for its upland landscapes within the Peak District National Park.
-
D.
High Force
High Force is a famous and powerful waterfall on the River Tees in northern England, renowned for its dramatic drop through the Pennine landscape.
-
E.
Hoche
Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
- 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: Wysoka Triple: [Wysokie Skałki, alsoKnownAs, Wysoka]
Generated description
Wysoka is a prominent peak in the Pieniny Mountains on the Polish–Slovak border, known for its scenic views and popular hiking trails.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wysoka Target entity description: Wysoka is a prominent peak in the Pieniny Mountains on the Polish–Slovak border, known for its scenic views and popular hiking trails.
-
A.
Hoch
Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
-
B.
Augst
Augst is a municipality in the canton of Basel-Landschaft in northern Switzerland, known for its proximity to the ancient Roman site of Augusta Raurica.
-
C.
HIGH PEAK
HIGH PEAK is a local government district in Derbyshire, England, known for its upland landscapes within the Peak District National Park.
-
D.
High Force
High Force is a famous and powerful waterfall on the River Tees in northern England, renowned for its dramatic drop through the Pennine landscape.
-
E.
Hoche
Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa6148a88190be5150313fe23e7b |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86874d5e48190a07c48f667fb8f6e |
completed | March 28, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_69c868d21b688190ba2f6ad849f4bde5 |
completed | March 28, 2026, 11:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c869d14ae08190b2742af3878333e6 |
completed | March 28, 2026, 11:52 p.m. |
Created at: March 27, 2026, 3:55 p.m.