Triple
T37172270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian merchant fleet |
E920946
|
entity |
| Predicate | tonnageRankWWII |
P187499
|
FINISHED |
| Object | among top merchant fleets globally |
—
|
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: among top merchant fleets globally | Statement: [Norwegian merchant fleet, tonnageRankWWII, among top merchant fleets globally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tonnageRankWWII Context triple: [Norwegian merchant fleet, tonnageRankWWII, among top merchant fleets globally]
-
A.
numberOfShipsCommissionedDuringWWII
Indicates the total count of ships that were officially commissioned into service during World War II.
-
B.
armamentWWII
Indicates that an entity served as a weapon, piece of equipment, or military hardware used during World War II.
-
C.
tonnageClass
Indicates a classification relationship where an entity is assigned to a category based on its tonnage (weight or carrying capacity range).
-
D.
navalVesselsAlliedApprox
Indicates that two or more naval vessels are approximately allied, suggesting a cooperative or friendly relationship without specifying a precise or formal alliance.
-
E.
percentageDestroyedInWWIIApproximate
Indicates the approximate proportion of something that was destroyed during World War II.
- 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_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb55dc36d08190a0634fa680e13114 |
completed | May 6, 2026, 2:53 p.m. |
Created at: May 3, 2026, 4:15 p.m.