Triple
T14755231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margareten |
E346712
|
entity |
| Predicate | incorporatedIntoVienna |
P115672
|
FINISHED |
| Object | 1850 |
—
|
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: 1850 | Statement: [Margareten, incorporatedIntoVienna, 1850]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatedIntoVienna Context triple: [Margareten, incorporatedIntoVienna, 1850]
-
A.
startOfTermAsGauleiterOfVienna
Indicates the point in time when an individual begins their term serving as Gauleiter (regional Nazi Party leader) of Vienna.
-
B.
endOfTermAsGauleiterOfVienna
Indicates the point in time when an individual's tenure as Gauleiter of Vienna comes to an end.
-
C.
capitalDuringAustrianRule
Indicates that a place served as the capital of a territory or region specifically during the period of Austrian rule.
-
D.
AustrianDesignation
Indicates that an entity has an official designation, title, or status specifically within the Austrian context (e.g., by Austrian law, administration, or standards).
-
E.
distanceFromVienna
Indicates the spatial distance between a given entity’s location and the city 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8c02e5c08190943c27594026faf7 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:30 a.m.