Triple
T12881179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EDF |
E308097
|
entity |
| Predicate | civilian |
P107419
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [EDF, civilian, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilian Context triple: [EDF, civilian, false]
-
A.
civilianUse
Indicates that something is intended for, suitable for, or actually used by civilians rather than military or combat purposes.
-
B.
civilianHead
Indicates that one entity serves as the top civilian leader or chief official in charge of another entity (such as an organization, institution, or jurisdiction).
-
C.
civilianVariant
Indicates that one entity is a civilian version or non-military counterpart of another entity.
-
D.
civilOrMilitary
Indicates that something is classified as either civil (non-military) or military in nature or function.
-
E.
civilianTarget
Indicates that the action or operation is directed at, affects, or designates civilians or civilian objects as the target.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d97c7d0598819080cab0a2314bc106 |
completed | April 10, 2026, 10:41 p.m. |
Created at: April 9, 2026, 5:39 p.m.