Triple
T32717521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul König |
E836560
|
entity |
| Predicate | transatlanticVoyage |
P197989
|
FINISHED |
| Object | Deutschland first voyage to the United States in 1916 |
—
|
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: Deutschland first voyage to the United States in 1916 | Statement: [Paul König, transatlanticVoyage, Deutschland first voyage to the United States in 1916]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transatlanticVoyage Context triple: [Paul König, transatlanticVoyage, Deutschland first voyage to the United States in 1916]
-
A.
transatlanticCrossing
chosen
Indicates a journey or passage that crosses the Atlantic Ocean from one side to the other.
-
B.
seaVoyages
Indicates that one entity undertakes or is associated with journeys or travel by sea to or involving another entity.
-
C.
totalTransatlanticCrossings
Indicates the number of times an entity has completed crossings across the Atlantic Ocean.
-
D.
famousVoyage
Indicates that a voyage is widely recognized or celebrated for its historical, cultural, or exploratory significance.
-
E.
numberOfVoyagesToAmericas
Indicates the count of distinct voyages an entity has made to the Americas.
- 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec25f0fc48190b87ab1f9cd1eb0de |
completed | May 9, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69fec079a770819098df7cc3049df954 |
completed | May 9, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:11 a.m.