Triple
T23119096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Inmate |
E576839
|
entity |
| Predicate | statusOfTarget |
P150978
|
FINISHED |
| Object | heavily reduced Japanese base by 1945 |
—
|
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: heavily reduced Japanese base by 1945 | Statement: [Operation Inmate, statusOfTarget, heavily reduced Japanese base by 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfTarget Context triple: [Operation Inmate, statusOfTarget, heavily reduced Japanese base by 1945]
-
A.
targetsStatus
Indicates that one entity directs its actions or focus toward another entity based on the latter’s current status or condition.
-
B.
statusModel
Indicates that an entity is associated with a particular status representation or status-handling model.
-
C.
statusInSI
Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
-
D.
seeksStatusAs
Indicates that one entity is attempting to obtain or be recognized with a particular status, role, or standing in relation to another entity.
-
E.
statusInTOS
Indicates the status or condition of something as defined or specified within a Terms of Service agreement.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4ece5481908d05b4b1e6a07db3 |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.