Triple
T17452816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breslau Hauptbahnhof |
E424954
|
entity |
| Predicate | presentDayNameLanguage |
P127522
|
FINISHED |
| Object | Polish |
—
|
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: Polish | Statement: [Breslau Hauptbahnhof, presentDayNameLanguage, Polish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDayNameLanguage Context triple: [Breslau Hauptbahnhof, presentDayNameLanguage, Polish]
-
A.
presentDayNameOfCapital
Indicates that one entity is the current, officially used name of the capital city associated with another entity.
-
B.
dayName
Indicates the specific name of the day of the week associated with a given date or time.
-
C.
presentDayNameUsedSince
Indicates that the current name of an entity has been in use since a specified point in time.
-
D.
presentDayNameInKazakh
Indicates that the predicate specifies the name of the current day expressed in the Kazakh language.
-
E.
localLanguageName
Indicates the name of a language as it is written or referred to in its own local or native form.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513faa0c8190961cf504c459bf34 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:47 a.m.