Triple
T422835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Nevada (BB-36) |
E8140
|
entity |
| Predicate | finalSinkingMethod |
P13566
|
FINISHED |
| Object | gunfire and aerial torpedoes by U.S. forces |
—
|
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: gunfire and aerial torpedoes by U.S. forces | Statement: [USS Nevada (BB-36), finalSinkingMethod, gunfire and aerial torpedoes by U.S. forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalSinkingMethod Context triple: [USS Nevada (BB-36), finalSinkingMethod, gunfire and aerial torpedoes by U.S. forces]
-
A.
deathMethod
Indicates the specific way or means by which a death occurred.
-
B.
usedMethodOfKilling
Indicates that one entity employed a particular method or means to carry out a killing of another entity.
-
C.
killedBy
Indicates that one entity caused the death of another entity.
-
D.
placeOfSinking
Indicates the location where an object or entity sank or was submerged.
-
E.
placeOfDeath
Indicates the location where an entity (typically a person or animal) died.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eec200648190bcb9f1b98c8e9cdf |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd5439c8190aea661b8b4aa51e9 |
completed | Feb. 28, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.