Triple
T5217047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander-in-Chief, Egypt |
E117777
|
entity |
| Predicate | isMilitaryPostType |
P62089
|
FINISHED |
| Object | theater 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: theater command | Statement: [Commander-in-Chief, Egypt, isMilitaryPostType, theater command]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMilitaryPostType Context triple: [Commander-in-Chief, Egypt, isMilitaryPostType, theater command]
-
A.
isMilitaryRank
Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
-
B.
hasMilitaryDesignation
Indicates that an entity is assigned a specific military-related code, title, or classification.
-
C.
isMilitaryOrderGrade
Indicates that one entity is classified as a specific grade or level within a military order or honor system in relation to another entity.
-
D.
militaryBranchEligibility
Indicates that an entity meets the required conditions to serve in a specified branch of the military.
-
E.
isMilitarySchool
Indicates that an educational institution functions as a military school, operating under military principles, structure, or training programs.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a95abdc8190b0babd79cea1360e |
completed | March 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69bd77bd2a448190a9ae5afd2585a7b9 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78a89b608190b259d3d8658f8f7c |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:48 p.m.