Triple
T761527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Orange |
E16079
|
entity |
| Predicate | monarchy |
P18821
|
FINISHED |
| Object | Dutch monarchy |
—
|
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: Dutch monarchy | Statement: [Princess of Orange, monarchy, Dutch monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchy Context triple: [Princess of Orange, monarchy, Dutch monarchy]
-
A.
monarchyStatus
Indicates whether an entity is a monarchy and, if so, what specific monarchical status or type it holds.
-
B.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
C.
kingdom
Indicates that an entity is classified within a particular biological kingdom in a taxonomic hierarchy.
-
D.
usedInMonarchy
Indicates that something is employed, practiced, or functions within the context of a monarchical system of government.
-
E.
representedMonarch
Indicates that one entity formally acted on behalf of, or served as the official representative of, a monarch in some capacity or context.
- F. None of above. chosen
Provenance (4 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a682e7d081909c9cd7839a49fb0b |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a5048a8081908d0542214142664a |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a58c0a84819094f07658dc651b36 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.