Triple
T23840211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austria–Italy |
E590965
|
entity |
| Predicate | italianEmbassyLocationInAustria |
P153836
|
FINISHED |
| Object | Vienna |
—
|
NE NERFINISHED |
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: Vienna | Statement: [Austria–Italy, italianEmbassyLocationInAustria, Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: italianEmbassyLocationInAustria Context triple: [Austria–Italy, italianEmbassyLocationInAustria, Vienna]
-
A.
alignedItalyWith
Indicates that one entity brought Italy into political, military, or ideological agreement or cooperation with another entity.
-
B.
italyParticipation
Indicates that an entity is involved in, takes part in, or is a participant in Italy-related events, activities, or contexts.
-
C.
locatedInRegionOfItaly
Indicates that an entity is geographically situated within a specific region of Italy.
-
D.
chartPositionItaly
Indicates the position or ranking of something on a music or sales chart specifically within Italy.
-
E.
hasConsulateOfCroatiaIn
Indicates that a location hosts an official consulate representing Croatia.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c886aab081909ad896abe383afb9 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f158b0e320819090b947ee7eb14116 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 17, 2026, 8:08 p.m.