Triple
T12216898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruno Kreisky |
E291108
|
entity |
| Predicate | officeStartForChancellorOfAustria |
P103846
|
FINISHED |
| Object | 1970-04-21 |
—
|
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: 1970-04-21 | Statement: [Bruno Kreisky, officeStartForChancellorOfAustria, 1970-04-21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartForChancellorOfAustria Context triple: [Bruno Kreisky, officeStartForChancellorOfAustria, 1970-04-21]
-
A.
officeStart (Chancellor of Germany)
Indicates the date or point in time when the person began serving as Chancellor of Germany.
-
B.
servedAsHeadOfTheChancelleryFrom
Indicates that a person held the position of head of the chancellery starting from a specified date or time period.
-
C.
officeEnd (Chancellor of Germany)
Indicates the date or point in time when an individual's term as Chancellor of Germany comes to an end.
-
D.
locationOfChancellery
Indicates the place where a chancellery (the office or administrative seat of a chancellor) is situated.
-
E.
startOfTermAsGauleiterOfVienna
Indicates the point in time when an individual begins their term serving as Gauleiter (regional Nazi Party leader) of Vienna.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d920c3dc9881908c396a4ab34f4836 |
completed | April 10, 2026, 4:09 p.m. |
Created at: April 8, 2026, 9:51 p.m.