Triple
T34520195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GCON |
E886257
|
entity |
| Predicate | higherRankFullName |
P54406
|
FINISHED |
| Object | Grand Commander of the Order of the Federal Republic |
—
|
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: Grand Commander of the Order of the Federal Republic | Statement: [GCON, higherRankFullName, Grand Commander of the Order of the Federal Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: higherRankFullName Context triple: [GCON, higherRankFullName, Grand Commander of the Order of the Federal Republic]
-
A.
higherRankHas
Indicates that one entity holds a higher rank or hierarchical position than another entity.
-
B.
higherRankDescription
Indicates that one entity holds a superior or more senior rank or status compared to another entity.
-
C.
highestRankIn
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
D.
holderFullTitle
chosen
Indicates that one entity is the complete, formal title or designation held by another entity.
-
E.
fullRankIf
Indicates that a matrix or linear transformation has full rank if a specified condition or set of conditions holds.
- 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 2:02 a.m.