Triple
T22841875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander by Number of the Order of Isabella the Catholic |
E566101
|
entity |
| Predicate | rankingWithinOrder |
P120834
|
FINISHED |
| Object | above Commander and below Grand Cross |
—
|
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: above Commander and below Grand Cross | Statement: [Commander by Number of the Order of Isabella the Catholic, rankingWithinOrder, above Commander and below Grand Cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingWithinOrder Context triple: [Commander by Number of the Order of Isabella the Catholic, rankingWithinOrder, above Commander and below Grand Cross]
-
A.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
B.
rankIndicated
Indicates that one entity specifies, denotes, or reveals the hierarchical rank or level of another entity.
-
C.
orderWithin
chosen
Indicates that one entity is positioned or ranked before or after another entity within a defined sequence or ordering.
-
D.
rankingPositions
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
-
E.
rankComparedTo
Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e855abc8190b9cf8cc515090a7f |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:35 p.m.