Triple
T33039463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Lackawanna |
E845416
|
entity |
| Predicate | statusDuringCivilWar |
P19322
|
FINISHED |
| Object | active service |
—
|
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: active service | Statement: [USS Lackawanna, statusDuringCivilWar, active service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusDuringCivilWar Context triple: [USS Lackawanna, statusDuringCivilWar, active service]
-
A.
statusDuringWar
chosen
Indicates the role, condition, or classification an entity held specifically during a period of war.
-
B.
stateDuringWar
Indicates that a state or condition exists specifically in the context of, or for the duration of, a war or armed conflict.
-
C.
controlledByDuringCivilWar
Indicates that one party exercised control or authority over another specifically during a civil war period.
-
D.
statusByEndOfWar
Indicates the condition or standing of an entity as it exists at the conclusion of a specified war.
-
E.
civilWarPeriod
Indicates a time span during which a civil war is occurring or in effect.
- 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_69f34951348c8190b56746b0a7018182 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
Created at: May 1, 2026, 1:24 a.m.