Triple
T17658252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haukeli |
E440180
|
entity |
| Predicate | roadOftenAffectedBy |
P62929
|
FINISHED |
| Object | winter weather |
—
|
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: winter weather | Statement: [Haukeli, roadOftenAffectedBy, winter weather]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadOftenAffectedBy Context triple: [Haukeli, roadOftenAffectedBy, winter weather]
-
A.
roadAffected
chosen
Indicates that a road is impacted or disrupted by a condition, event, or action, such as construction, accidents, or adverse weather.
-
B.
roadTraverses
Indicates that a road passes through, crosses, or extends across a specified geographic area or feature.
-
C.
roadSide
Indicates that one entity is located along, beside, or immediately adjacent to a road.
-
D.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
E.
roadEnvironment
Indicates that the relationship or action occurs within, is influenced by, or is specifically associated with a road or roadway environment.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:33 a.m.