Triple
T35735235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rothaarsteig |
E1032867
|
entity |
| Predicate | hasSideTrails |
P195743
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Rothaarsteig, hasSideTrails, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSideTrails Context triple: [Rothaarsteig, hasSideTrails, yes]
-
A.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
B.
trailsBehind
Indicates that one entity follows or moves after another, remaining at a distance behind it in space, time, or progress.
-
C.
hasMultipleTrails
Indicates that an entity is associated with more than one distinct trail or path.
-
D.
hasOffRoadSections
Indicates that a route, path, or roadway includes segments that are not on standard paved or main roads, such as trails, dirt tracks, or other off-road portions.
-
E.
hasTrailCentre
Indicates that a location or area contains or is served by a designated trail centre that provides access to and facilities for trails.
- F. None of above. chosen
Provenance (4 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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
| PDg | Predicate description generation | batch_69fde49953c481909ac352ab36fa9ff2 |
completed | May 8, 2026, 1:26 p.m. |
Created at: May 3, 2026, 4:05 p.m.