Triple
T30618069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 12-man Operational Detachment Alpha |
E779365
|
entity |
| Predicate | typicalRankComposition |
P207291
|
FINISHED |
| Object | officers and non-commissioned officers |
—
|
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: officers and non-commissioned officers | Statement: [12-man Operational Detachment Alpha, typicalRankComposition, officers and non-commissioned officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRankComposition Context triple: [12-man Operational Detachment Alpha, typicalRankComposition, officers and non-commissioned officers]
-
A.
typicalRankRange
Indicates the usual or most common range of ranks or ordered positions that an entity typically occupies within a ranking or hierarchy.
-
B.
typicalRank
Indicates the usual or most common rank or position an entity holds within a given ordering or hierarchy.
-
C.
typicalRankPrefix
Indicates that one entity is a commonly used or standard prefix attached to the rank represented by the other entity.
-
D.
tensorRank
Indicates the rank (number of indices or dimensions) associated with a given tensor.
-
E.
hasRankOverℂ
Indicates that one entity has a specified (typically finite) linear-algebraic rank when considered over the field of complex numbers ℂ.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 8:26 p.m.