Triple
T20141617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inspired by "U.S. Navy" (in-universe explanation) |
E491180
|
entity |
| Predicate | involvesMisreadingOf |
P49451
|
FINISHED |
| Object | U.S. Navy ship sign |
—
|
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: U.S. Navy ship sign | Statement: [Inspired by "U.S. Navy" (in-universe explanation), involvesMisreadingOf, U.S. Navy ship sign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesMisreadingOf Context triple: [Inspired by "U.S. Navy" (in-universe explanation), involvesMisreadingOf, U.S. Navy ship sign]
-
A.
misinterpretedBy
Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
-
B.
misidentifiedAs
chosen
Indicates that one entity has been incorrectly recognized, labeled, or understood as another, distinct entity.
-
C.
disputedInterpretation
Indicates that there is disagreement or contention over how something should be understood, interpreted, or explained.
-
D.
misjudges
Indicates that one entity forms an incorrect or unfair opinion or assessment about another entity or situation.
-
E.
requiresInterpretationInLightOf
Indicates that something must be understood, evaluated, or applied by considering it in the context or framework provided by another thing.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:32 p.m.