Triple
T13698347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rübeland |
E328446
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Blankenburg (Harz) |
E318587
|
NE 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: Blankenburg (Harz) | Statement: [Rübeland, hasNearbyTown, Blankenburg (Harz)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blankenburg (Harz) Context triple: [Rübeland, hasNearbyTown, Blankenburg (Harz)]
-
A.
Blankenburg (Harz)
chosen
Blankenburg (Harz) is a historic town in the Harz Mountains of central Germany, known for its medieval castle, scenic landscapes, and traditional architecture.
-
B.
Herzberg am Harz
Herzberg am Harz is a small town in Lower Saxony, Germany, located on the southern edge of the Harz Mountains and known for its historic castle and timber-framed architecture.
-
C.
Benneckenstein (Harz)
Benneckenstein (Harz) is a small town in the Harz Mountains of central Germany, now incorporated into the town of Oberharz am Brocken.
-
D.
Bad Lauterberg im Harz
Bad Lauterberg im Harz is a spa town in the Harz Mountains of Lower Saxony, Germany, known for its health resorts and scenic natural surroundings.
-
E.
Boltenhagen
Boltenhagen is a Baltic Sea seaside resort town in northern Germany known for its beaches and tourism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc878b57c819094e7ea6d1a64211f |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794559e9c81909ef8a6d9b9f480b3 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.