Triple
T12734944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veľká Fatra |
E304337
|
entity |
| Predicate | containsPeak |
P8205
|
FINISHED |
| Object |
Tlstá
Tlstá is a prominent limestone mountain peak in central Slovakia, known for its steep cliffs, extensive karst formations, and scenic hiking trails.
|
E999305
|
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: Tlstá | Statement: [Veľká Fatra, containsPeak, Tlstá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tlstá Context triple: [Veľká Fatra, containsPeak, Tlstá]
-
A.
Tále
Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
-
B.
Toliš
Toliš is the endonym used by speakers of the Talysh language to refer to their own language or ethnic group in the Talysh region of Iran and Azerbaijan.
-
C.
Tisler
Tisler is a small Norwegian island in the Hvaler archipelago, known for its coastal scenery and traditional seaside cottages.
-
D.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
E.
Tlmače
Tlmače is a small industrial town in western Slovakia known for its energy-related manufacturing and location along the Hron River.
- 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: Tlstá Triple: [Veľká Fatra, containsPeak, Tlstá]
Generated description
Tlstá is a prominent limestone mountain peak in central Slovakia, known for its steep cliffs, extensive karst formations, and scenic hiking trails.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tlstá Target entity description: Tlstá is a prominent limestone mountain peak in central Slovakia, known for its steep cliffs, extensive karst formations, and scenic hiking trails.
-
A.
Tále
Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
-
B.
Toliš
Toliš is the endonym used by speakers of the Talysh language to refer to their own language or ethnic group in the Talysh region of Iran and Azerbaijan.
-
C.
Tisler
Tisler is a small Norwegian island in the Hvaler archipelago, known for its coastal scenery and traditional seaside cottages.
-
D.
Ostružná
Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
-
E.
Tlmače
Tlmače is a small industrial town in western Slovakia known for its energy-related manufacturing and location along the Hron River.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646b3ca08190b239f0736a01169d |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8e2dbc81909c1c85ca699a2679 |
completed | May 2, 2026, 10:37 p.m. |
| NEDg | Description generation | batch_69f67d888d7c8190b9aaeb877984a403 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67e12b8148190958b63ba114d6221 |
completed | May 2, 2026, 10:43 p.m. |
Created at: April 9, 2026, 5:26 p.m.