Triple
T36554678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight Grand Companion of the New Zealand Order of Merit |
E901668
|
entity |
| Predicate | isCivilianMilitary |
P173640
|
FINISHED |
| Object | primarily civilian honour |
—
|
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: primarily civilian honour | Statement: [Knight Grand Companion of the New Zealand Order of Merit, isCivilianMilitary, primarily civilian honour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivilianMilitary Context triple: [Knight Grand Companion of the New Zealand Order of Merit, isCivilianMilitary, primarily civilian honour]
-
A.
isCivilMilitary
Indicates that an entity or relationship involves both civilian and military components or functions.
-
B.
isCivilian
Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
-
C.
civilOrMilitary
Indicates that something is classified as either civil (non-military) or military in nature or function.
-
D.
isCivilianBased
chosen
Indicates that something is primarily oriented toward, derived from, or operating within a civilian (non-military) context.
-
E.
isCivilianOffice
Indicates that an office or position is non-military and belongs to the civilian sphere of authority or administration.
- 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_69f76e634e9481908c9ba1b87ab87c26 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.