Triple
T4638000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese battlecruiser Amagi |
E101580
|
entity |
| Predicate | designedDisplacement |
P57907
|
FINISHED |
| Object | over 40,000 tons (standard) |
—
|
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: over 40,000 tons (standard) | Statement: [Japanese battlecruiser Amagi, designedDisplacement, over 40,000 tons (standard)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedDisplacement Context triple: [Japanese battlecruiser Amagi, designedDisplacement, over 40,000 tons (standard)]
-
A.
plannedDisplacement
Indicates a deliberate, pre-arranged movement or relocation of an entity from one place or state to another.
-
B.
displacementVariant
Indicates a relationship where one entity is an alternative or modified form of another that differs specifically in its spatial position or displacement.
-
C.
displacement
Indicates a change in an entity’s position from one location to another, typically specifying both direction and magnitude of that movement.
-
D.
displacementCategory
Indicates the type or classification of a displacement event or condition associated with an entity.
-
E.
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.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a64214481908a207e8070cc7a45 |
completed | March 20, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69bd5233cb5081908807e2b150f0ca06 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56f7b94481909f3335312becd446 |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:13 p.m.