Triple
T6903742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reichswehr air units |
E159554
|
entity |
| Predicate | statusBefore1935 |
P74026
|
FINISHED |
| Object | formally non-military aviation formations |
—
|
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: formally non-military aviation formations | Statement: [Reichswehr air units, statusBefore1935, formally non-military aviation formations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusBefore1935 Context triple: [Reichswehr air units, statusBefore1935, formally non-military aviation formations]
-
A.
statusAfter1934
Indicates the condition or state something has specifically after the year 1934.
-
B.
statusBefore1990s
Indicates the condition or state that an entity had prior to the 1990s.
-
C.
statusAfter1954
Indicates the status or condition that an entity has at some point after the year 1954.
-
D.
statusAfter1923
Indicates the status or condition an entity has at some point after the year 1923.
-
E.
statusAfter1995
Indicates the condition or state of an entity specifically in the period after the year 1995.
- 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.