Triple
T35061144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross of the Order |
E1011592
|
entity |
| Predicate | rankRelativeToOtherClasses |
P125587
|
FINISHED |
| Object | highest or one of the highest |
—
|
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: highest or one of the highest | Statement: [Grand Cross of the Order, rankRelativeToOtherClasses, highest or one of the highest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankRelativeToOtherClasses Context triple: [Grand Cross of the Order, rankRelativeToOtherClasses, highest or one of the highest]
-
A.
rankComparedTo
Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
-
B.
rankComparedToCount
Indicates how an entity’s rank or ordering position compares relative to a specified total count or number of items.
-
C.
classRank
Indicates the relative academic standing or position of an entity within a class or cohort based on performance or criteria.
-
D.
rankConcept
chosen
Indicates that one concept is ordered or prioritized relative to other concepts according to some ranking criterion.
-
E.
rankEquivalent
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
- 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7860a1154819088c0faac06bc3852 |
completed | May 3, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.