Triple
T17222726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tactical Air Force Wing 73 "Steinhoff" |
E418026
|
entity |
| Predicate | namedForLaterRole |
P63
|
FINISHED |
| Object | postwar Luftwaffe inspector |
—
|
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: postwar Luftwaffe inspector | Statement: [Tactical Air Force Wing 73 "Steinhoff", namedForLaterRole, postwar Luftwaffe inspector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForLaterRole Context triple: [Tactical Air Force Wing 73 "Steinhoff", namedForLaterRole, postwar Luftwaffe inspector]
-
A.
namedAfter
chosen
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
B.
laterNamed
Indicates that an entity was given a new name at a later time, linking its original identity to its subsequent name.
-
C.
namedTo
Indicates that one entity has been given or assigned a specific name referring to another entity.
-
D.
namedForWork
Indicates that one entity is named in honor of, or derived from the title of, a particular work (such as a book, film, artwork, or other creative production).
-
E.
laterVariantRole
Indicates that one role is a subsequent or later variant of another, reflecting a modified or evolved version of the original role.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddf2c3c8190b6adceaaefd4ccbf |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.