Triple
T795118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Orange-Nassau |
E17000
|
entity |
| Predicate | orderOfPrecedenceInNetherlands |
P1803
|
FINISHED |
| Object | below Order of the Netherlands Lion |
—
|
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: below Order of the Netherlands Lion | Statement: [Order of Orange-Nassau, orderOfPrecedenceInNetherlands, below Order of the Netherlands Lion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfPrecedenceInNetherlands Context triple: [Order of Orange-Nassau, orderOfPrecedenceInNetherlands, below Order of the Netherlands Lion]
-
A.
orderPrecedence
chosen
Indicates that one entity must come before another in a defined sequence or priority order.
-
B.
orderPrecedenceWithinIndia
Indicates the relative ranking or priority of entities in terms of legal or administrative precedence within the jurisdiction of India.
-
C.
confersPrecedenceIn
Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
-
D.
orderInUnion
Indicates the relative position or sequence of an entity within a union or ordered collection of entities.
-
E.
establishedInOrder
Indicates that one entity was created, founded, or formally set up as a result of, or in accordance with, a specific order, directive, or mandate.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b04cd8819092e2fd7ba4df8672 |
completed | March 1, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
Created at: March 1, 2026, 7:38 p.m.