Triple
T21626069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Peninsula Area Region |
E533704
|
entity |
| Predicate | roadAccessOftenAffectedBy |
P145269
|
FINISHED |
| Object | wet season conditions |
—
|
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: wet season conditions | Statement: [Northern Peninsula Area Region, roadAccessOftenAffectedBy, wet season conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadAccessOftenAffectedBy Context triple: [Northern Peninsula Area Region, roadAccessOftenAffectedBy, wet season conditions]
-
A.
roadAffected
Indicates that a road is impacted or disrupted by a condition, event, or action, such as construction, accidents, or adverse weather.
-
B.
roadAccessArea
Indicates that an area is designated for or provides access to a road, such as for entry, exit, or connection.
-
C.
roadAccessVia
Indicates that one location or area is reachable from another specifically by using a particular road or road segment.
-
D.
roadAccessFrom
Indicates that one location can be reached from another via a usable road connection.
-
E.
isRoadAccessible
Indicates that a road can be safely and legally used or traversed under the current conditions.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52131f2c8190b9966adf43a0fe4f |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:34 p.m.