Triple
T27475264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bielke |
E693438
|
entity |
| Predicate | militaryRankHeldByMembers |
P342
|
FINISHED |
| Object | field marshal |
—
|
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: field marshal | Statement: [Bielke, militaryRankHeldByMembers, field marshal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryRankHeldByMembers Context triple: [Bielke, militaryRankHeldByMembers, field marshal]
-
A.
militaryRank
chosen
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
B.
hasGeneralOfficerRank
Indicates that an entity holds a military rank at the general officer level.
-
C.
militaryRankRange
Indicates that an entity’s military rank falls within a specified range or between two defined rank levels.
-
D.
militaryRankScope
Indicates the hierarchical level or range of authority that a military rank applies to within an organizational or operational context.
-
E.
isMilitaryRank
Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
- 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_69ef5381f2648190a2392d0fab833095 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 12:56 p.m.