Triple
T33375013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister of State of the Netherlands |
E854601
|
entity |
| Predicate | numberOfHoldersAtAnyTime |
P86595
|
FINISHED |
| Object | limited |
—
|
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: limited | Statement: [Minister of State of the Netherlands, numberOfHoldersAtAnyTime, limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHoldersAtAnyTime Context triple: [Minister of State of the Netherlands, numberOfHoldersAtAnyTime, limited]
-
A.
typicalNumberOfHolders
Indicates the usual or expected number of entities that hold or possess a given item, role, or resource.
-
B.
totalNumberOfHolders
Indicates the total count of distinct entities that hold or possess a given asset, item, or resource.
-
C.
maximumNumberOfHolders
chosen
Indicates the greatest allowable or observed count of entities that can simultaneously hold or possess a given item, role, or resource.
-
D.
numberOfCurrentHolder
Indicates the quantity of entities that currently hold or possess a specified item, asset, or role.
-
E.
numberOfHoldings
Indicates the quantity of distinct holdings or assets associated with an 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a03142a3a7081909bcfb683b44e2217 |
completed | May 12, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_6a031400af808190a72abf095e96c151 |
completed | May 12, 2026, 11:50 a.m. |
Created at: May 1, 2026, 1:35 a.m.