Triple
T1272391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Pampanito |
E15737
|
entity |
| Predicate | displacementSurfaced |
P28074
|
FINISHED |
| Object | about 1,526 long tons |
—
|
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: about 1,526 long tons | Statement: [USS Pampanito, displacementSurfaced, about 1,526 long tons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displacementSurfaced Context triple: [USS Pampanito, displacementSurfaced, about 1,526 long tons]
-
A.
displacement
Indicates a change in an entity’s position from one location to another, typically specifying both direction and magnitude of that movement.
-
B.
displacementClass
Indicates the category or type of physical displacement associated with an entity or event, typically grouping similar kinds or magnitudes of movement into a common class.
-
C.
surfaceCurrent
Indicates that one entity is the prevailing flow or movement of a fluid (such as water or air) along the surface of another entity.
-
D.
displacedBy
Indicates that one entity has been moved, replaced, or forced out of its original position, role, or state by another entity.
-
E.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06c033081909bc594157abaf5bb |
completed | March 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfa205ec81909d8170b398345615 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:50 p.m.