Triple
T26457931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archer-class submarine |
E665543
|
entity |
| Predicate | refitFor |
P3155
|
FINISHED |
| Object | tropical waters operations |
—
|
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: tropical waters operations | Statement: [Archer-class submarine, refitFor, tropical waters operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refitFor Context triple: [Archer-class submarine, refitFor, tropical waters operations]
-
A.
refit
chosen
Indicates that an existing object or structure is being modified, repaired, or equipped with new parts or features to restore or improve its function.
-
B.
adjustsFor
Indicates that one entity modifies, compensates, or accounts for the effects of another entity to achieve a corrected or normalized result.
-
C.
rebuiltFor
Indicates that one entity has been reconstructed, renovated, or modified specifically to serve the needs, purposes, or use of another entity.
-
D.
typeAfterRefit
Indicates that an entity’s type or classification after undergoing a refit or modification is the specified value.
-
E.
reconfiguredFrom
Indicates that one entity has been altered, adapted, or rearranged from a prior entity or configuration, such that the current form results from modifying the original.
- 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61291b9588190931535163a538686 |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:10 a.m.