Triple
T3574477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABDA Command |
E75652
|
entity |
| Predicate | airCommanderRank |
P50669
|
FINISHED |
| Object | United States Army Air Forces general |
—
|
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: United States Army Air Forces general | Statement: [ABDA Command, airCommanderRank, United States Army Air Forces general]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airCommanderRank Context triple: [ABDA Command, airCommanderRank, United States Army Air Forces general]
-
A.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
B.
hasCommanderRank
Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
-
C.
commissionedOfficerRank
Indicates that one entity holds a rank that qualifies them as a commissioned officer in a formal organizational hierarchy.
-
D.
hasWingCommanderRank
Indicates that one entity holds the military rank of Wing Commander in relation to another entity or organizational context.
-
E.
policeRank
Indicates that one entity holds a specific rank or position within a police organization relative to another entity.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0d928f08190830347b3b032178a |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adba25c66c81909a05a97327828c41 |
completed | March 8, 2026, 6:04 p.m. |
Created at: March 8, 2026, 3:21 p.m.