Triple
T1695628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District of Altenburger Land |
E36650
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | city of Gera |
E35113
|
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 Gera | Statement: [District of Altenburger Land, borderedBy, city of Gera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Gera Context triple: [District of Altenburger Land, borderedBy, city of Gera]
-
A.
City of Gera
chosen
The City of Gera is a medium-sized city in the German state of Thuringia, historically known as an industrial and cultural center in eastern Germany.
-
B.
Altstadt Gera
Altstadt Gera is the historic old town district of Gera, Germany, characterized by preserved architecture, traditional squares, and cultural landmarks reflecting the city’s past.
-
C.
Town hall of Gera
The Town Hall of Gera is a historic civic building in Gera, Germany, noted for its distinctive Renaissance architecture and role as the city’s administrative center.
-
D.
Jena
Jena is a historic university city in the German state of Thuringia, known for its role in optics, philosophy, and science.
-
E.
Eisenach
Eisenach is a historic town in central Germany best known for its associations with Martin Luther and as the birthplace of composer Johann Sebastian Bach.
- 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b645a081909dafdf7a32f2a389 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7998e1108190aa7430cd4ef887d9 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:30 p.m.