Triple
T19968609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 344th Military Intelligence Battalion |
E480008
|
entity |
| Predicate | isMilitaryIntelligenceUnit |
P126453
|
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: [344th Military Intelligence Battalion, isMilitaryIntelligenceUnit, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMilitaryIntelligenceUnit Context triple: [344th Military Intelligence Battalion, isMilitaryIntelligenceUnit, true]
-
A.
isPrimaryIntelligenceAgencyOf
Indicates that an intelligence agency serves as the main or principal intelligence organization for a specified country, government, or jurisdiction.
-
B.
isMilitaryCommand
Indicates that one entity holds formal military authority or command over another entity or group.
-
C.
isNamedMilitaryUnit
chosen
Indicates that the subject is a military unit that has been given a specific official name.
-
D.
isMilitaryOfficer
Indicates that the subject holds an official position as an officer within a military organization.
-
E.
isMilitaryInstallation
Indicates that a location functions as a military facility or base used for defense, training, operations, or related armed forces activities.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc6b0208190b1ae30be95712326 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.