Triple
T17153088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Regent Inlet |
E416270
|
entity |
| Predicate | hasSeaIceCondition |
P4991
|
FINISHED |
| Object | seasonal sea ice cover |
—
|
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: seasonal sea ice cover | Statement: [Prince Regent Inlet, hasSeaIceCondition, seasonal sea ice cover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeaIceCondition Context triple: [Prince Regent Inlet, hasSeaIceCondition, seasonal sea ice cover]
-
A.
hasSeaIce
Indicates that one entity possesses, contains, or is covered by sea ice in relation to another context or location.
-
B.
hasSeaIceExtent
chosen
Indicates that a specified area or region possesses a measurable amount or coverage of sea ice over a given space or time.
-
C.
hasIcebergs
Indicates that one entity (typically a body of water or region) contains or is characterized by the presence of icebergs.
-
D.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
E.
hasSurroundingSeaIceSeason
Indicates the period during which a given location is surrounded by sea ice.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40861e08190bad1a3ec87691132 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.