Triple
T21304013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wunnumin Lake First Nation |
E525144
|
entity |
| Predicate | hasWinterRoadAccess |
P100564
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Wunnumin Lake First Nation, hasWinterRoadAccess, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWinterRoadAccess Context triple: [Wunnumin Lake First Nation, hasWinterRoadAccess, true]
-
A.
hasSeasonalIceRoads
chosen
Indicates that temporary roads made of or over ice are available in certain seasons connecting the related entities.
-
B.
isRoadAccessible
Indicates that a road can be safely and legally used or traversed under the current conditions.
-
C.
roadAccessSeason
Indicates the time of year or season during which road access to a place or area is available or permitted.
-
D.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
-
E.
hasRoadCondition
Indicates that a specified road segment possesses or is characterized by a particular condition or state (e.g., quality, surface, or status).
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa212388190b367290526feb380 |
completed | April 21, 2026, 11:08 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:05 p.m.