Triple
T832802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home Command |
E18003
|
entity |
| Predicate | isMajorFormation |
P20146
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Home Command, isMajorFormation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorFormation Context triple: [Home Command, isMajorFormation, true]
-
A.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
B.
isMajorBaseIn
Indicates that a location serves as a primary or central base of operations within a specified area or organization.
-
C.
isMassive
Indicates that one entity has an extremely large size, scale, or extent relative to typical or comparable entities.
-
D.
hasMajorOrganization
Indicates that an entity is associated with or primarily represented by a major organization.
-
E.
hasMajorComponent
Indicates that one entity includes another entity as a primary or most significant component or part.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb647988190950e1790bcfa60a5 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7b3d2481909199f7c9f305bdfe |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab60fea8819098ce3269181897d1 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.