Triple
T18309357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichi S1A |
E438577
|
entity |
| Predicate | reasonForNonProduction |
P36021
|
FINISHED |
| Object | end of World War II |
—
|
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: end of World War II | Statement: [Aichi S1A, reasonForNonProduction, end of World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForNonProduction Context triple: [Aichi S1A, reasonForNonProduction, end of World War II]
-
A.
reasonForNoProduction
chosen
Indicates the specific cause or explanation for why production did not occur.
-
B.
reasonForNonOperation
Indicates the specific cause or explanation for why an entity, system, or process is not currently operating or functioning.
-
C.
reasonForNonInstallation
Indicates the explanation or cause for why an expected installation did not occur.
-
D.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
-
E.
reasonForNonParticipation
Indicates the explanation or cause for why an entity did not take part in a specified activity or event.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021709f88190a8047dd57edc2029 |
completed | April 19, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.