Triple
T32979432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet aircraft carrier Minsk |
E843755
|
entity |
| Predicate | shipyardCountryAtTimeOfConstruction |
P162191
|
FINISHED |
| Object | Ukrainian SSR |
—
|
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: Ukrainian SSR | Statement: [Soviet aircraft carrier Minsk, shipyardCountryAtTimeOfConstruction, Ukrainian SSR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipyardCountryAtTimeOfConstruction Context triple: [Soviet aircraft carrier Minsk, shipyardCountryAtTimeOfConstruction, Ukrainian SSR]
-
A.
shipyardCountry
chosen
Indicates the country in which a given shipyard is located or to which it belongs.
-
B.
hullConstructedIn
Indicates that the hull of an object (such as a ship or vessel) was built or constructed at a specific location or facility.
-
C.
shipyardLocatedOn
Indicates that a shipyard is situated on or within the geographic area of a specified landmass, coastline, or body of water.
-
D.
countryOfShipSunk
Indicates the country to which a ship that was sunk belonged or was registered.
-
E.
countryOfBritishShips
Indicates the country to which British ships belong or are registered.
- 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_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1dad6788190bdf668f6f831c57c |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:22 a.m.