Triple
T20490503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German submarine U-75 |
E502729
|
entity |
| Predicate | draught_m |
P85505
|
FINISHED |
| Object | 4.74 |
—
|
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: 4.74 | Statement: [German submarine U-75, draught_m, 4.74]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: draught_m Context triple: [German submarine U-75, draught_m, 4.74]
-
A.
draught
Indicates that one entity is the version or serving of a beverage (typically beer) that is drawn from a cask, keg, or tap rather than from a bottle or can.
-
B.
mate
Indicates that two entities engage in or are involved in a reproductive pairing or breeding relationship.
-
C.
hasDraught
chosen
Indicates that an entity has a specific vertical distance between the waterline and the lowest point of its hull or structure (its draught).
-
D.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
E.
maxDraft
Indicates the maximum allowable or observed value of a draft (such as depth, airflow, or preliminary version) associated with an entity or process.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cb8e7848190a1dc497a10ae798c |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
Created at: April 16, 2026, 11:35 a.m.