Triple
T30705349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Traiskirchen |
E781736
|
entity |
| Predicate | hasRefugeeReceptionCenter |
P30108
|
FINISHED |
| Object | Bundesbetreuungsstelle für Asylwerber Traiskirchen |
—
|
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: Bundesbetreuungsstelle für Asylwerber Traiskirchen | Statement: [Traiskirchen, hasRefugeeReceptionCenter, Bundesbetreuungsstelle für Asylwerber Traiskirchen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefugeeReceptionCenter Context triple: [Traiskirchen, hasRefugeeReceptionCenter, Bundesbetreuungsstelle für Asylwerber Traiskirchen]
-
A.
hasRefugeeCamp
chosen
Indicates that a location or entity hosts, contains, or is the site of a refugee camp.
-
B.
mainDeportationCenter
Indicates that a location serves as the primary facility from which individuals are organized, held, or processed for deportation.
-
C.
hasConvocationCenter
Indicates that an entity possesses or is associated with a convocation center facility.
-
D.
hasRefugeePopulation
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
E.
hadRegionalCenter
Indicates that an entity possessed, operated, or was associated with a specific regional center serving a defined geographic area.
- F. None of above.
Provenance (3 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_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00a846a8f881908b073ad13a5af6ca |
completed | May 10, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_6a00a7aae194819085e1a2fd406f7922 |
completed | May 10, 2026, 3:43 p.m. |
Created at: April 29, 2026, 8:35 p.m.