Triple
T13362500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polar Class 5 |
E318853
|
entity |
| Predicate | typicalShipTypes |
P109622
|
FINISHED |
| Object | ice-capable cargo ships |
—
|
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: ice-capable cargo ships | Statement: [Polar Class 5, typicalShipTypes, ice-capable cargo ships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalShipTypes Context triple: [Polar Class 5, typicalShipTypes, ice-capable cargo ships]
-
A.
typicalShipStrength
Indicates the usual or characteristic level of strength or power associated with a given ship.
-
B.
navalStandardType
Indicates the specific naval standard or classification system under which an entity (such as a vessel, equipment, or procedure) is defined or regulated.
-
C.
originalShipType
Indicates the type or category of ship that an entity was originally classified or built as.
-
D.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
-
E.
shipClass
Indicates the classification or type category to which a particular ship belongs.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628affd081909f1790d333f0eef4 |
completed | April 11, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:32 p.m.