Triple
T9505938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solling |
E229268
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | city of Einbeck |
E525875
|
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: city of Einbeck | Statement: [Solling, locatedNear, city of Einbeck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Einbeck Context triple: [Solling, locatedNear, city of Einbeck]
-
A.
Einbeck
chosen
Einbeck is a historic town in Lower Saxony, Germany, renowned for its medieval architecture and traditional beer brewing.
-
B.
Stadt Ahaus
Stadt Ahaus is a town in the district of Borken in North Rhine-Westphalia, Germany, known for its historic castle and proximity to the Dutch border.
-
C.
Imperial City of Soest
The Imperial City of Soest was a significant medieval free imperial city in present-day North Rhine-Westphalia, Germany, known for its strategic location and economic importance in the Holy Roman Empire.
-
D.
Hildesheim
Hildesheim is a historic city in northern Germany renowned for its medieval architecture and UNESCO-listed Romanesque churches.
-
E.
Nienburg
Nienburg is a historic town in Lower Saxony, Germany, known for its medieval architecture and scenic location along the Weser River.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9852b7e48190a8f69cbde10d2858 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a1de2d88190a6a10379d2297510 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:57 p.m.