Triple
T18460146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | von und zu Liechtenstein |
E451009
|
entity |
| Predicate | associatedWithStateForm |
P66830
|
FINISHED |
| Object | microstate |
—
|
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: microstate | Statement: [von und zu Liechtenstein, associatedWithStateForm, microstate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithStateForm Context triple: [von und zu Liechtenstein, associatedWithStateForm, microstate]
-
A.
associatedWithStateFormation
Indicates a relationship where something contributes to, is involved in, or is otherwise linked to the process of forming or establishing a state.
-
B.
associatedWithForm
chosen
Indicates a relationship in which something is linked or connected to a particular form, document, or structured representation.
-
C.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
D.
associatedWithStateCode
Indicates that an entity has a connection or linkage to a particular state identified by its state code.
-
E.
associatedWithStateGovernment
Indicates a relationship where an entity is connected to, operates under, or is formally linked with a state-level government or its institutions.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7e65bc8190a824bce5b322c3de |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:33 a.m.