Triple
T470460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vrije Universiteit Amsterdam |
E8543
|
entity |
| Predicate | secular |
P2316
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Vrije Universiteit Amsterdam, secular, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secular Context triple: [Vrije Universiteit Amsterdam, secular, yes]
-
A.
hasSecularAspects
chosen
Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
-
B.
ally
Indicates a cooperative relationship in which one entity supports, assists, or aligns with another, often for mutual benefit or a shared goal.
-
C.
ministry
Indicates that an entity serves as a governmental ministry responsible for specific public functions or policy areas in relation to another entity.
-
D.
laterReligion
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
-
E.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efef8b788190857ebf66df562d59 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edecefb081908331ef8b9edf6636 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.