Triple
T2044244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Wainwright (DD-419) |
E45413
|
entity |
| Predicate | armamentWartime |
P36009
|
FINISHED |
| Object | 5 × 5 in/38 caliber guns |
—
|
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: 5 × 5 in/38 caliber guns | Statement: [USS Wainwright (DD-419), armamentWartime, 5 × 5 in/38 caliber guns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: armamentWartime Context triple: [USS Wainwright (DD-419), armamentWartime, 5 × 5 in/38 caliber guns]
-
A.
wartimeUse
Indicates that something is used or employed during a period of war or armed conflict.
-
B.
warProduction
Indicates that an entity is involved in the production of goods, resources, or services specifically intended to support war or military activities.
-
C.
warfareType
Indicates the specific kind or category of warfare that characterizes a given conflict or military engagement.
-
D.
warPeriod
Indicates a time span during which a state of war or armed conflict is ongoing between parties.
-
E.
worldWar
Indicates a large-scale armed conflict involving multiple nations across different regions of the world, typically encompassing numerous battles, alliances, and theaters of war.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abbc2b07d48190ba9d67353167b472 |
completed | March 7, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:39 p.m.