Triple
T3553680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salzgitter |
E75169
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Salzgitter-Lebenstedt |
E75169
|
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: Salzgitter-Lebenstedt | Statement: [Salzgitter, hasDistrict, Salzgitter-Lebenstedt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salzgitter-Lebenstedt Context triple: [Salzgitter, hasDistrict, Salzgitter-Lebenstedt]
-
A.
Salzgitter
chosen
Salzgitter is a major industrial city in central Germany known for its steel production and location within the federal state of Lower Saxony.
-
B.
Ennigerloh
Ennigerloh is a small town in the German state of North Rhine-Westphalia, known as the birthplace of mathematician Karl Weierstrass.
-
C.
Anhalt-Zerbst
Anhalt-Zerbst was a small principality within the Holy Roman Empire, historically notable as the homeland of Catherine the Great and a source of German auxiliary troops in the 18th century.
-
D.
Oberwiederstedt
Oberwiederstedt is a village in Saxony-Anhalt, Germany, best known as the birthplace of the Romantic poet and philosopher Novalis.
-
E.
Hasselwerder
Hasselwerder is a small island located in Lake Tegel in Berlin, Germany.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05394888190b59fafda97b49beb |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38beef8b4819090109ab89e9671d6 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.