Triple
T3870561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Great Britain |
E91974
|
entity |
| Predicate | abandonedYear |
P49984
|
FINISHED |
| Object | 1937 |
—
|
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: 1937 | Statement: [SS Great Britain, abandonedYear, 1937]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abandonedYear Context triple: [SS Great Britain, abandonedYear, 1937]
-
A.
dateOfAbandonment
chosen
Indicates the specific date on which something (such as a place, project, or object) was formally or effectively abandoned or discontinued.
-
B.
abandonedIn
Indicates that one entity was left behind or deserted in the location or context specified by another entity.
-
C.
deprecatedYear
Indicates the year in which something (such as a feature, standard, or item) was officially marked as deprecated or no longer recommended for use.
-
D.
surrenderYear
Indicates the year in which an entity formally surrendered, ending its resistance or hostilities.
-
E.
yearOfDisappearance
Indicates the specific year in which an entity disappeared or ceased to be present.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec54b0848190a8d4a0e4df7b6227 |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.