Triple
T2090451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bransfield Strait |
E32655
|
entity |
| Predicate | hasIceConditions |
P22448
|
FINISHED |
| Object | seasonal sea ice |
—
|
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 | Statement: [Bransfield Strait, hasIceConditions, seasonal sea ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIceConditions Context triple: [Bransfield Strait, hasIceConditions, seasonal sea ice]
-
A.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
B.
hasIcebergs
Indicates that one entity (typically a body of water or region) contains or is characterized by the presence of icebergs.
-
C.
hasTypicalIceRegime
chosen
Indicates that there is a characteristic or commonly occurring pattern of ice conditions associated with the referenced entity.
-
D.
hasSeaIce
Indicates that one entity possesses, contains, or is covered by sea ice in relation to another context or location.
-
E.
hasRunwayDeicingFacilities
Indicates that the subject location or facility is equipped with infrastructure or systems specifically for deicing aircraft runways.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba7443448190a2642769d0b5fb93 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b4356881909217c42ccb8bb1ed |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.