Triple
T36112653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Theater Command |
E1044539
|
entity |
| Predicate | numberOfTheaterCommandsInPLA |
P204730
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Southern Theater Command, numberOfTheaterCommandsInPLA, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTheaterCommandsInPLA Context triple: [Southern Theater Command, numberOfTheaterCommandsInPLA, 5]
-
A.
numberOfStrategicCommands
Indicates the quantity of strategic commands associated with or issued by a given entity.
-
B.
theaterCommander
Indicates that an entity serves as the commanding authority over military operations within a specific theater or area of operations.
-
C.
notableTheaterCommanderSupported
Indicates that a notable theater commander provided support—such as resources, strategic assistance, or endorsement—to another entity.
-
D.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
E.
theaterCommandType
Indicates the specific type or category of command issued within a theater-level (operational) context.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.