Triple
T2176748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander |
E48545
|
entity |
| Predicate | canBeCivilOrMilitary |
P4480
|
FINISHED |
| Object | yes, depending on order |
—
|
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: yes, depending on order | Statement: [Commander, canBeCivilOrMilitary, yes, depending on order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeCivilOrMilitary Context triple: [Commander, canBeCivilOrMilitary, yes, depending on order]
-
A.
isCivilian
Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
-
B.
isCivilianOffice
chosen
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
-
C.
militaryStatus
Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
-
D.
militaryBranchEligibility
Indicates that an entity meets the required conditions to serve in a specified branch of the military.
-
E.
hasMilitaryDesignation
Indicates that an entity is assigned a specific military-related code, title, or classification.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.