Triple
T33963672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Empress of Britain (2028) |
E870790
|
entity |
| Predicate | hasUncertainRealization |
P62578
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SS Empress of Britain (2028), hasUncertainRealization, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUncertainRealization Context triple: [SS Empress of Britain (2028), hasUncertainRealization, true]
-
A.
hasUncertainForm
Indicates that the form or structure of something is not clearly defined, fixed, or confidently known.
-
B.
hasUncertainty
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
C.
hasUncertainNature
chosen
Indicates that the nature, status, or characteristics of the relationship or situation are not clearly defined, known, or determined.
-
D.
hasUncertainDefinition
Indicates that the relationship or concept exists but its precise meaning, scope, or boundaries are not clearly defined or agreed upon.
-
E.
hasUncertainMedium
Indicates that the medium or material through which something is expressed, transmitted, or preserved is not clearly known or confidently identified.
- 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_69f3499ce8e88190b66e1d49ad8c7037 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 1, 2026, 1:50 a.m.