Triple
T12809209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malá Fatra |
E306222
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Veľký Rozsutec
Veľký Rozsutec is a prominent and rugged limestone peak in Slovakia, renowned for its striking cliffs, rich flora, and popularity among hikers and nature enthusiasts.
|
E1004983
|
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: Veľký Rozsutec | Statement: [Malá Fatra, hasPeak, Veľký Rozsutec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veľký Rozsutec Context triple: [Malá Fatra, hasPeak, Veľký Rozsutec]
-
A.
Veľký Choč
Veľký Choč is a prominent peak in northern Slovakia known for its panoramic views over the surrounding Liptov and Orava regions.
-
B.
La Grande
La Grande is a small city in northeastern Oregon that serves as a regional hub and home to Eastern Oregon University.
-
C.
Velkua
Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
-
D.
Velký Meder
Velký Meder is a spa and tourist town in southwestern Slovakia known for its thermal baths and recreational facilities.
-
E.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
- 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: Veľký Rozsutec Triple: [Malá Fatra, hasPeak, Veľký Rozsutec]
Generated description
Veľký Rozsutec is a prominent and rugged limestone peak in Slovakia, renowned for its striking cliffs, rich flora, and popularity among hikers and nature enthusiasts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veľký Rozsutec Target entity description: Veľký Rozsutec is a prominent and rugged limestone peak in Slovakia, renowned for its striking cliffs, rich flora, and popularity among hikers and nature enthusiasts.
-
A.
Veľký Choč
Veľký Choč is a prominent peak in northern Slovakia known for its panoramic views over the surrounding Liptov and Orava regions.
-
B.
La Grande
La Grande is a small city in northeastern Oregon that serves as a regional hub and home to Eastern Oregon University.
-
C.
Velkua
Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
-
D.
Velký Meder
Velký Meder is a spa and tourist town in southwestern Slovakia known for its thermal baths and recreational facilities.
-
E.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e808130819080f404b3a7462c2e |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ec89eb081909915af6e2216e0a2 |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f68fb6790881908c1d6f53b54906a2 |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f690c0bd208190bd1f04a9640ad1ce |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 9, 2026, 5:31 p.m.