Triple
T4408590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight Grand Cross of the Order of Orange-Nassau |
E94794
|
entity |
| Predicate | isRoyalOrderGrade |
P50407
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Knight Grand Cross of the Order of Orange-Nassau, isRoyalOrderGrade, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRoyalOrderGrade Context triple: [Knight Grand Cross of the Order of Orange-Nassau, isRoyalOrderGrade, true]
-
A.
isRoyalTitle
Indicates that something is a formal title associated with royalty or a royal rank.
-
B.
hasRoyalStatus
Indicates that an entity possesses a recognized royal rank, title, or status within a monarchy or royal system.
-
C.
rankInPrincelyOrder
chosen
Indicates the position or level an entity holds within a specified princely order or hierarchy.
-
D.
isOrderOfKnighthood
Indicates that an entity is a formal chivalric or knightly order to which individuals can be admitted.
-
E.
isRank
Indicates that one entity serves as the rank, level, or hierarchical position associated with another entity.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3548cb92881908a3f98466da8e0a2 |
completed | March 13, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:28 p.m.