Triple
T6903756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reichswehr air units |
E159554
|
entity |
| Predicate | secretObjective |
P74027
|
FINISHED |
| Object | preservation of German military aviation expertise |
—
|
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: preservation of German military aviation expertise | Statement: [Reichswehr air units, secretObjective, preservation of German military aviation expertise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secretObjective Context triple: [Reichswehr air units, secretObjective, preservation of German military aviation expertise]
-
A.
expeditionObjective
Indicates the primary goal or purpose that an expedition is intended to achieve.
-
B.
notableObjective
Indicates that an entity has a significant, distinguished, or widely recognized goal, purpose, or target associated with it.
-
C.
secondaryGoal
Indicates that something serves as a subordinate or supporting objective in addition to a primary goal.
-
D.
actorObjective
Indicates that an actor has a specific goal, purpose, or intended outcome in relation to another entity or situation.
-
E.
intendedMission
Indicates that one entity is the planned or designated mission, task, or objective associated with another entity.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d989c13081908a2e346cde9e3a50 |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:25 p.m.