Triple
T7139565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Checkpoint Alpha |
E166405
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Helmstedt |
E482831
|
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: Helmstedt | Statement: [Checkpoint Alpha, hasNearbyTown, Helmstedt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helmstedt Context triple: [Checkpoint Alpha, hasNearbyTown, Helmstedt]
-
A.
Helmstedt
chosen
Helmstedt is a historic town in Lower Saxony, Germany, known for its medieval architecture and former university.
-
B.
Halberstadt
Halberstadt is a historic town in the German state of Saxony-Anhalt, known for its medieval architecture and role as a former episcopal seat.
-
C.
Nordhausen
Nordhausen is a historic town in central Germany known for its medieval architecture, former role as a key trading center, and association with the nearby Mittelbau-Dora concentration camp site.
-
D.
Höxter
Höxter is a historic town in eastern North Rhine-Westphalia, Germany, known for its location on the River Weser and proximity to the UNESCO-listed Corvey Abbey.
-
E.
Northeim
Northeim is a town in Lower Saxony, Germany, known for its medieval old town and location in the Leine River valley.
- 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_69c6888579d481909e05a8d6b81bf733 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7759a048190815689298befa8d7 |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a1f8da648190987fad6e37620cef |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 2:45 p.m.