Triple
T38567995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combat Logistics Battalion 453 |
E928280
|
entity |
| Predicate | isEchelonOf |
P191202
|
FINISHED |
| Object | Marine Forces Reserve |
—
|
NE NERFINISHED |
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: Marine Forces Reserve | Statement: [Combat Logistics Battalion 453, isEchelonOf, Marine Forces Reserve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEchelonOf Context triple: [Combat Logistics Battalion 453, isEchelonOf, Marine Forces Reserve]
-
A.
hasJordanForm
Indicates that one mathematical object (typically a matrix or linear operator) possesses a specific Jordan normal form associated with it.
-
B.
isNearlyDiagonalElementOf
Indicates that an element occupies a position close to, but not exactly on, the main diagonal within a matrix or similar structured array.
-
C.
hasCanonicalBasis
Indicates that there exists a standard or preferred basis associated with an entity, typically used as the reference basis in its context.
-
D.
isUpperTriangular
Indicates that a square matrix has all entries below its main diagonal equal to zero.
-
E.
hasStandardBasis
Indicates that a given vector space is equipped with or possesses its usual canonical set of basis vectors.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:32 p.m.