Triple
T20207845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthias Kleinheisterkamp |
E493403
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Halbe |
—
|
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: Halbe | Statement: [Matthias Kleinheisterkamp, placeOfDeath, Halbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halbe Context triple: [Matthias Kleinheisterkamp, placeOfDeath, Halbe]
-
A.
Halbe
chosen
Halbe is a small municipality in Brandenburg, Germany, historically known as the site of a major encirclement battle near the end of World War II.
-
B.
Halba
Halba is a town in northern Lebanon that serves as the administrative and commercial center of the Akkar region.
-
C.
Halba
Halba are an indigenous Adivasi community of central India, particularly associated with the Bastar region, known for their distinct language, cultural traditions, and agrarian lifestyle.
-
D.
Halblech
Halblech is a river in Bavaria, Germany, known as a tributary of the Ammer.
-
E.
Helfaut
Helfaut is a small commune in the Pas-de-Calais department in northern France, known for its rural character and proximity to the town of Saint-Omer.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d934f808190bbfeb96f5bf2dfb9 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:38 p.m.