Triple
T29381170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komando Cadangan Strategis Angkatan Darat |
E745137
|
entity |
| Predicate | isRapidReactionForceFor |
P96584
|
FINISHED |
| Object | Indonesian Army |
—
|
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: Indonesian Army | Statement: [Komando Cadangan Strategis Angkatan Darat, isRapidReactionForceFor, Indonesian Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRapidReactionForceFor Context triple: [Komando Cadangan Strategis Angkatan Darat, isRapidReactionForceFor, Indonesian Army]
-
A.
isRapidReactionUnit
chosen
Indicates that an entity functions as a unit specifically organized, trained, and equipped to respond quickly to emerging situations or emergencies.
-
B.
isMilitaryCommand
Indicates that one entity holds formal military authority or command over another entity or group.
-
C.
isMilitaryStaffOf
Indicates that one entity serves as military personnel working for, or assigned to, another entity (such as an organization, unit, or individual).
-
D.
isFrontlineUnit
Indicates that an entity functions as a primary combat or operational unit positioned at or near the front line of engagement.
-
E.
FLETCRole
Indicates that an entity serves in a specific role or capacity within the FLETC (Federal Law Enforcement Training Centers) context.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669ce489081909e5b3187581daa29 |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:35 p.m.