Triple
T20019611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Kafka memorial room |
E494821
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kierling |
—
|
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: Kierling | Statement: [Franz Kafka memorial room, locatedIn, Kierling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kierling Context triple: [Franz Kafka memorial room, locatedIn, Kierling]
-
A.
Kierling
chosen
Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
-
B.
Klier
Klier is a surname of German origin borne by various notable individuals across fields such as sports, arts, and academia.
-
C.
Kilcher
Kilcher is the surname of a family of entertainers and public figures, notably including actress and activist Q'orianka Kilcher and several relatives involved in music and television.
-
D.
Reisenberg
Reisenberg is a small municipality in Lower Austria’s Baden District, known for its rural character and proximity to Vienna.
-
E.
Teckberg
Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623f1598819097ad4fa392540901 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.