Triple
T35911012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Britain (2073) |
E1038607
|
entity |
| Predicate | deckClass |
P4066
|
FINISHED |
| Object | first class |
—
|
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: first class | Statement: [SS Empress of Britain (2073), deckClass, first class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deckClass Context triple: [SS Empress of Britain (2073), deckClass, first class]
-
A.
cardSetType
Indicates the classification relationship that specifies what type or category a given card set belongs to.
-
B.
deckNumber
Indicates the specific deck or floor level associated with an entity within a multi-level structure or vehicle.
-
C.
cardClass
Indicates the classification or category to which a given card belongs within a defined card system or schema.
-
D.
cardGameCompanionOf
Indicates that one entity regularly accompanies or partners with another specifically for playing card games.
-
E.
hasDeckType
chosen
Indicates that an entity possesses or is associated with a specific type or category of deck.
- 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa73415c81908e54c77484bbac7a |
completed | May 3, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.