Triple
T3681705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reichsmarine |
E78126
|
entity |
| Predicate | maximumTonnageLimitedBy |
P50282
|
FINISHED |
| Object | 100000 tons of warships under Treaty of Versailles |
—
|
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: 100000 tons of warships under Treaty of Versailles | Statement: [Reichsmarine, maximumTonnageLimitedBy, 100000 tons of warships under Treaty of Versailles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumTonnageLimitedBy Context triple: [Reichsmarine, maximumTonnageLimitedBy, 100000 tons of warships under Treaty of Versailles]
-
A.
maxVesselTonnage
Indicates the maximum tonnage capacity that a vessel is allowed or designed to carry.
-
B.
weightLimitInKilograms
Indicates the maximum allowable weight for something, expressed in kilograms.
-
C.
weightLimitInPounds
Indicates the maximum allowable weight for something, expressed in pounds.
-
D.
maximumTakeoffWeight
Indicates the greatest allowable weight an aircraft can have at the start of its takeoff roll under specified conditions.
-
E.
designedCargoCapacity
Indicates the maximum amount of cargo an object (such as a vehicle or container) was originally engineered or specified to carry.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc492aed481909e8986378ad283fc |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb97cdb788190a5ce96b21bd157ab |
completed | March 8, 2026, 6:01 p.m. |
Created at: March 8, 2026, 3:25 p.m.