Triple
T23840210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austria–Italy |
E590965
|
entity |
| Predicate | austrianEmbassyLocationInItaly |
P153835
|
FINISHED |
| Object | Rome |
—
|
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: Rome | Statement: [Austria–Italy, austrianEmbassyLocationInItaly, Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: austrianEmbassyLocationInItaly Context triple: [Austria–Italy, austrianEmbassyLocationInItaly, Rome]
-
A.
resultForAustria
Indicates that a particular outcome, performance, or result is specifically associated with Austria.
-
B.
officeStartForChancellorOfAustria
Indicates the date or point in time when an individual begins their term as Chancellor of Austria.
-
C.
isLargestCityRankInAustria
Indicates that a city holds a specific rank in terms of population size among all cities in Austria.
-
D.
incorporatedIntoVienna
Indicates that one entity (typically a place or administrative unit) has been formally merged into and made part of the city of Vienna.
-
E.
chartPositionAustria
Indicates the position or ranking that something holds on a music or sales chart specifically in Austria.
- 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.