Triple
T5284024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold Cross of the Virtuti Militari |
E119568
|
entity |
| Predicate | rankWithinVirtutiMilitari |
P52884
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Gold Cross of the Virtuti Militari, rankWithinVirtutiMilitari, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankWithinVirtutiMilitari Context triple: [Gold Cross of the Virtuti Militari, rankWithinVirtutiMilitari, 1]
-
A.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
B.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
C.
militaryRankOfPrecedence
Indicates the relative seniority or priority order of a military rank compared to other ranks.
-
D.
isCivilianHonourGrade
Indicates that one entity is classified as a specific grade or level within a system of civilian honours or awards in relation to another entity.
-
E.
militaryAwardType
chosen
Indicates the specific category or kind of military honor or decoration associated with an award.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.