Triple
T2068586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakajima Ki-27 |
E45962
|
entity |
| Predicate | retiredFromFrontlineService |
P35163
|
FINISHED |
| Object | early 1940s |
—
|
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: early 1940s | Statement: [Nakajima Ki-27, retiredFromFrontlineService, early 1940s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retiredFromFrontlineService Context triple: [Nakajima Ki-27, retiredFromFrontlineService, early 1940s]
-
A.
retiredFrom
Indicates that an entity has permanently stopped working for or being active in a specified organization, role, or activity.
-
B.
hasMilitaryServiceEnd
Indicates the date or point in time at which an entity’s period of military service concludes.
-
C.
retired
Indicates that an entity has permanently stopped working in their former occupation or role, typically after reaching a certain age or service duration.
-
D.
retiredTo
Indicates that an entity has permanently left active service or work and taken up residence or status in a particular place or role as their retirement destination.
-
E.
removedFromPublicDuties
Indicates that an entity has been taken out of roles or responsibilities that involve serving or representing the public.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f362f48190b1b0e560424c3aef |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb87b9fc08190a748c278ef2d7dc7 |
completed | March 7, 2026, 5:32 a.m. |
Created at: March 4, 2026, 7:41 p.m.