Triple
T33088434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walther Schwieger |
E846706
|
entity |
| Predicate | numberOfTorpedoesFiredAtLusitania |
P96322
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Walther Schwieger, numberOfTorpedoesFiredAtLusitania, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTorpedoesFiredAtLusitania Context triple: [Walther Schwieger, numberOfTorpedoesFiredAtLusitania, 1]
-
A.
numberOfTorpedoesFired
chosen
Indicates the quantity of torpedoes that have been launched or discharged in a given context or event.
-
B.
numberOfTorpedoesHit
Indicates the number of torpedoes that successfully struck a specified target.
-
C.
numberOfTorpedoTubes
Indicates the quantity of torpedo tubes associated with or installed on an entity.
-
D.
numberOfSubmarinesUsed
Indicates the quantity of submarines that are utilized in a given context or operation.
-
E.
dateHitByTorpedo
Indicates the specific date on which an entity was struck by a torpedo.
- F. None of above.
Provenance (3 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_69f34954d46c8190a04a159cc5f99efd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a02f2d6f35481909829d4ec710dcb0f |
completed | May 12, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_6a02f15a2460819080cb4be5b50221d0 |
completed | May 12, 2026, 9:22 a.m. |
Created at: May 1, 2026, 1:26 a.m.