Triple
T29272116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Franklin (CV-13) |
E742145
|
entity |
| Predicate | returnedToUnitedStates |
P127331
|
FINISHED |
| Object | 1945 after damage |
—
|
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: 1945 after damage | Statement: [USS Franklin (CV-13), returnedToUnitedStates, 1945 after damage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedToUnitedStates Context triple: [USS Franklin (CV-13), returnedToUnitedStates, 1945 after damage]
-
A.
returnedToUSControl
chosen
Indicates that control or authority over an entity has been transferred back to the United States.
-
B.
returnedToChina
Indicates that an entity went back to China after having been away.
-
C.
returnedToJapan
Indicates that an entity went back to Japan after having been away.
-
D.
requiresFromUnitedStates
Indicates that one entity has a requirement that must be fulfilled specifically by the United States.
-
E.
returnedVia
Indicates that something was sent back or responded to through a specified medium, channel, or method.
- 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_69f0912124d48190a046642b69407f4c |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 28, 2026, 12:48 p.m.