Triple
T31223745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS George Washington (SSBN-598) |
E796082
|
entity |
| Predicate | firstPatrol |
P207375
|
FINISHED |
| Object | 1960-11 |
—
|
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: 1960-11 | Statement: [USS George Washington (SSBN-598), firstPatrol, 1960-11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPatrol Context triple: [USS George Washington (SSBN-598), firstPatrol, 1960-11]
-
A.
firstMission
Indicates that an entity is undertaking or associated with its initial mission or assignment in a given context.
-
B.
firstReplacementMission
Indicates that an entity serves as the initial replacement in a sequence of missions or assignments for another entity.
-
C.
firstMissionName
Indicates the name assigned to an entity’s first mission or initial operation.
-
D.
firstRendezvousMission
Indicates that the mission is the first instance in which two or more entities conduct a rendezvous operation.
-
E.
firstMissionCommander
Indicates that the subject served as the commander of the object's first mission.
- F. None of above. chosen
Provenance (4 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 9:10 p.m.