Triple
T37172269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian merchant fleet |
E920946
|
entity |
| Predicate | statusIn1940 |
P201064
|
FINISHED |
| Object | one of the world’s largest merchant fleets |
—
|
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: one of the world’s largest merchant fleets | Statement: [Norwegian merchant fleet, statusIn1940, one of the world’s largest merchant fleets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusIn1940 Context triple: [Norwegian merchant fleet, statusIn1940, one of the world’s largest merchant fleets]
-
A.
statusBy1941
Indicates the status or condition of an entity as it stood by the year 1941.
-
B.
statusIn1945
Indicates the condition, role, or classification an entity had specifically during the year 1945.
-
C.
statusDuringWorldWarII
Indicates the role, condition, or classification an entity had specifically during the period of World War II.
-
D.
legalStatusDuringWWI
Indicates the legal condition or classification an entity held specifically during World War I (e.g., enemy alien, neutral, ally, civilian, combatant).
-
E.
statusAfter1941
Indicates the condition or state of an entity as it existed after the year 1941.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffc516d1908190b475f5a6156b0ca8 |
completed | May 9, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69ffc4a946e08190b3535a5dc15ac484 |
completed | May 9, 2026, 11:35 p.m. |
| PDg | Predicate description generation | batch_69ffc515e4b08190810b2a29b2885162 |
completed | May 9, 2026, 11:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.