Triple
T24380160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Cap Arcona |
E614584
|
entity |
| Predicate | flagAtTimeOfSinking |
P155990
|
FINISHED |
| Object | Germany |
—
|
NE NERFINISHED |
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: Germany | Statement: [SS Cap Arcona, flagAtTimeOfSinking, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagAtTimeOfSinking Context triple: [SS Cap Arcona, flagAtTimeOfSinking, Germany]
-
A.
missionAtTimeOfSinking
Indicates that a vessel was engaged in a specific mission or operational role at the time it sank.
-
B.
legalStatusAtTimeOfSinking
Indicates the legal status or condition that applied to an entity at the specific time it sank.
-
C.
captainAtTimeOfSinking
Indicates that the subject was serving as the ship’s captain at the specific time when the ship sank.
-
D.
voyageStatusAtSinking
Indicates the status or phase of a voyage that a vessel was in at the time it sank.
-
E.
fleetScuttledAt
Indicates that a fleet was deliberately sunk or destroyed at a specific location or during a specific event.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293db31c481908484ab28921cd5fd |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:03 a.m.