Triple
T17212971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Tatras National Park |
E417776
|
entity |
| Predicate | hasSkiResort |
P1981
|
FINISHED |
| Object | Tále |
E300718
|
NE FINISHED |
How this triple was built (2 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: Tále | Statement: [Low Tatras National Park, hasSkiResort, Tále]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tále Context triple: [Low Tatras National Park, hasSkiResort, Tále]
-
A.
Tále
chosen
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.
Tyto
Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
-
C.
Talho
Talho is a settlement located within the municipality of Ribeira Brava in Cape Verde.
-
D.
Tainaste
Tainaste is a small settlement located in the Middle Atlas region of Morocco, near the mountain Jbel Bou Naceur.
-
E.
Tlstá
Tlstá is a prominent limestone mountain peak in central Slovakia, known for its steep cliffs, extensive karst formations, and scenic hiking trails.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc68a2c81908564231853b40db9 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674fadc48190aa4a627ec9f72341 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.