Triple
T66256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SecDef |
E1320
|
entity |
| Predicate | isCivilianOffice |
P4480
|
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: [SecDef, isCivilianOffice, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivilianOffice Context triple: [SecDef, isCivilianOffice, true]
-
A.
isCivilian
Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
-
B.
isCivilianAward
Indicates that an award is designated for civilians rather than military or combat-related recipients.
-
C.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
D.
civilianLeaderDepartment
Indicates that a person serves as the civilian head or chief official of a specified government department or ministry.
-
E.
isHeadOf
Indicates that one entity holds the leading or principal authority position over another entity, such as an organization, group, or department.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2516eda54819090f5c14384d4eab1 |
completed | Feb. 28, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69a24ea5c140819080409a968c8d2ce8 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a2516d98e88190b79261bd3fcadd9b |
completed | Feb. 28, 2026, 2:22 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.