Triple
T36435609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Britain (2022) |
E897571
|
entity |
| Predicate | shipbuilderType |
P185494
|
FINISHED |
| Object | historic Scottish shipbuilding firm |
—
|
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: historic Scottish shipbuilding firm | Statement: [SS Empress of Britain (2022), shipbuilderType, historic Scottish shipbuilding firm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shipbuilderType Context triple: [SS Empress of Britain (2022), shipbuilderType, historic Scottish shipbuilding firm]
-
A.
shipbuilder
Indicates that one entity is the builder or constructor of a ship associated with another entity.
-
B.
shipTypeProduced
Indicates that a particular type of ship is produced, built, or manufactured by a given entity.
-
C.
shipClassDeveloped
Indicates that a particular ship class was developed or designed by a specified entity (such as a country, organization, or manufacturer).
-
D.
shipbuildingActivity
Indicates the activity or process of constructing, assembling, or significantly modifying ships or large watercraft.
-
E.
shipbuilderLocation
Indicates the location where a shipbuilder is based or operates.
- 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_69f76e56636481908eda808ab0273401 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.