Triple
T5782000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | War Cross (Greece) |
E128179
|
entity |
| Predicate | campaignDecoration |
P65803
|
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: [War Cross (Greece), campaignDecoration, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignDecoration Context triple: [War Cross (Greece), campaignDecoration, true]
-
A.
campaignTheme
Indicates the central idea or message that characterizes and unifies a particular campaign.
-
B.
decorations
Indicates that one entity adds, provides, or serves as ornamental or decorative elements for another entity.
-
C.
decoration
Indicates that one entity serves as an ornament or embellishing element for another entity, enhancing its appearance or style.
-
D.
decorationForm
Indicates the specific decorative style, pattern, or motif that characterizes how something is ornamented.
-
E.
decorativeProgram
Indicates a relationship where a program or plan is created or used primarily for decorative, aesthetic, or ornamental purposes rather than functional ones.
- 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_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a17315881908aa12a830ba5f22b |
completed | March 22, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:50 p.m.