Triple
T23282711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Command |
E588909
|
entity |
| Predicate | echelonLevel |
P18686
|
FINISHED |
| Object | high-level command |
—
|
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: high-level command | Statement: [Major Command, echelonLevel, high-level command]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: echelonLevel Context triple: [Major Command, echelonLevel, high-level command]
-
A.
echelon
Indicates a hierarchical arrangement where entities are organized into levels or ranks, often with each level subordinate to the one above it.
-
B.
ordinationLevel
Indicates the hierarchical rank or degree of authority assigned to an entity within an ordered or structured system.
-
C.
designationLevel
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
D.
militaryFormationLevel
chosen
Indicates the hierarchical level or scale of a military formation within an armed forces organizational structure.
-
E.
representedLevel
Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196447a748190bd797ec9baa63fc3 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:58 p.m.