Triple
T17750127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | oscypek |
E443089
|
entity |
| Predicate | smokingLocation |
P128643
|
FINISHED |
| Object | traditional mountain huts |
—
|
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: traditional mountain huts | Statement: [oscypek, smokingLocation, traditional mountain huts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: smokingLocation Context triple: [oscypek, smokingLocation, traditional mountain huts]
-
A.
outdoorSmokingPolicy
Indicates the rules or restrictions governing smoking in outdoor areas associated with a place or organization.
-
B.
canBeSmoked
Indicates that something is suitable or able to be consumed by smoking.
-
C.
hasIndoorSmokingAreas
Indicates that a place permits smoking within designated indoor areas.
-
D.
smokeUse
Indicates that an entity uses or consumes tobacco or other substances by smoking.
-
E.
smokePurpose
Indicates that the action or event of smoking is carried out with a particular purpose, goal, or intended function.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48418c0188190beb31809b40e4648 |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 10:10 a.m.