Triple
T25515975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific and Middle East theaters (modern conflicts) |
E639508
|
entity |
| Predicate | relatedToCommand |
P21357
|
FINISHED |
| Object | United States Central Command |
—
|
NE NERFINISHED |
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: United States Central Command | Statement: [Pacific and Middle East theaters (modern conflicts), relatedToCommand, United States Central Command]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedToCommand Context triple: [Pacific and Middle East theaters (modern conflicts), relatedToCommand, United States Central Command]
-
A.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
associatedCommand
chosen
Indicates a relationship where one entity is linked to, or meant to be used with, a particular command or set of commands.
-
C.
relatedToTerm
Indicates a general, non-specific relationship or association between one term and another.
-
D.
relatedToPart
Indicates that one entity has a connection or association with a specific part or component of another entity.
-
E.
relatedToScript
Indicates a general association or connection between an entity and a script, without specifying the exact nature of that relationship.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 21, 2026, 2:56 p.m.