Triple
T530581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatra National Park |
E12212
|
entity |
| Predicate | hasTouristTrailsLength |
P14630
|
FINISHED |
| Object | over 250 kilometres of marked trails |
—
|
LITERAL 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: over 250 kilometres of marked trails | Statement: [Tatra National Park, hasTouristTrailsLength, over 250 kilometres of marked trails]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTouristTrailsLength Context triple: [Tatra National Park, hasTouristTrailsLength, over 250 kilometres of marked trails]
-
A.
hasTrailLength
Indicates that an entity (such as a trail or route) has a specific measured length.
-
B.
hasRailTrail
Indicates that one location or entity possesses, includes, or is connected by a rail trail (a recreational trail converted from or running along a former or existing railway corridor) to another location or entity.
-
C.
hasTouristInfrastructure
Indicates that a place is equipped with facilities and services designed to support and accommodate tourists.
-
D.
TrailLinkIs
Indicates that one trail segment is connected to or continues from another trail segment.
-
E.
trailSystemLength
chosen
Indicates the total measured length of a trail system associated with an entity.
- F. None of above.
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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b257108190a537dffbb9d621b5 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.