Triple
T5441758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icebreaker Sampo |
E122149
|
entity |
| Predicate | iceClass |
P64088
|
FINISHED |
| Object | Baltic icebreaker |
—
|
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: Baltic icebreaker | Statement: [Icebreaker Sampo, iceClass, Baltic icebreaker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: iceClass Context triple: [Icebreaker Sampo, iceClass, Baltic icebreaker]
-
A.
iceFeature
Indicates a relationship where a geographic or environmental feature is composed of, covered by, or characterized by ice.
-
B.
iceStrengthened
Indicates that an entity has been made stronger, reinforced, or enhanced through the application or influence of ice.
-
C.
hasIceSurface
Indicates that an entity possesses or is characterized by a surface composed primarily of ice.
-
D.
iceSurface
Indicates that something is located on, in contact with, or forming the surface of ice.
-
E.
hasTypicalIceRegime
Indicates that there is a characteristic or commonly occurring pattern of ice conditions associated with the referenced entity.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
| PDg | Predicate description generation | batch_69bd922dc688819092bf33589ebc6d50 |
completed | March 20, 2026, 6:30 p.m. |
Created at: March 20, 2026, 2:07 p.m.