Triple
T11471037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menihek Nordic Ski Club |
E271906
|
entity |
| Predicate | hasTrailPreparation |
P2534
|
FINISHED |
| Object | grooming |
—
|
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: grooming | Statement: [Menihek Nordic Ski Club, hasTrailPreparation, grooming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrailPreparation Context triple: [Menihek Nordic Ski Club, hasTrailPreparation, grooming]
-
A.
hasTrail
Indicates that an entity possesses, includes, or is associated with a trail or pathway.
-
B.
hasTrailFeature
Indicates that a trail possesses or is characterized by a specific feature or attribute.
-
C.
hasTrailNetwork
Indicates that an entity possesses or is associated with a system of interconnected trails or paths.
-
D.
preparesFor
chosen
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
E.
hasTrailType
Indicates that an entity (such as a trail or route) is associated with a specific type or category of trail.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.