Triple
T17805058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer of the Order of Orange-Nassau |
E444534
|
entity |
| Predicate | classNumberInOrder |
P4901
|
FINISHED |
| Object | fourth class from the top in the six-class structure |
—
|
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: fourth class from the top in the six-class structure | Statement: [Officer of the Order of Orange-Nassau, classNumberInOrder, fourth class from the top in the six-class structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classNumberInOrder Context triple: [Officer of the Order of Orange-Nassau, classNumberInOrder, fourth class from the top in the six-class structure]
-
A.
numberWithinClass
Indicates that an entity has a specific numerical value or position that is defined relative to a particular class or category it belongs to.
-
B.
numberInClass
Indicates that a specified entity is a member of, or belongs to, a particular class or category.
-
C.
classWithinOrder
Indicates that a biological class is a subordinate taxonomic rank contained within a particular order.
-
D.
ordinalNumber
chosen
Indicates the position or rank of an entity within an ordered sequence (e.g., first, second, third).
-
E.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4880385b48190b8dea0f05dfa1300 |
completed | April 19, 2026, 7:45 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:14 a.m.