Triple
T23840214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austria–Italy |
E590965
|
entity |
| Predicate | italianConsulateInAustria |
P153838
|
FINISHED |
| Object | Innsbruck |
—
|
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: Innsbruck | Statement: [Austria–Italy, italianConsulateInAustria, Innsbruck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: italianConsulateInAustria Context triple: [Austria–Italy, italianConsulateInAustria, Innsbruck]
-
A.
hasConsulateOfCroatiaIn
Indicates that a location hosts an official consulate representing Croatia.
-
B.
alignedItalyWith
Indicates that one entity brought Italy into political, military, or ideological agreement or cooperation with another entity.
-
C.
hasConsulateOfSwitzerlandIn
Indicates that a consulate representing Switzerland is located in a specified place.
-
D.
haveConsulates
Indicates that one country maintains consular offices or consulates within the territory of another country.
-
E.
otherMilanAirports
Indicates that the related entity is an airport in Milan other than the primary or main Milan airport under consideration.
- 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.