Triple
T6138568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezirk Leipzig |
E136898
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Bezirk Dresden |
E134800
|
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: Bezirk Dresden | Statement: [Bezirk Leipzig, borderedBy, Bezirk Dresden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bezirk Dresden Context triple: [Bezirk Leipzig, borderedBy, Bezirk Dresden]
-
A.
Bezirk Dresden
chosen
Bezirk Dresden was an administrative district centered on the city of Dresden that functioned as one of the key regional divisions of the former East Germany.
-
B.
Bezirk Leipzig
Bezirk Leipzig was an administrative district in the former East Germany centered around the city of Leipzig.
-
C.
Zwickau district
Zwickau district is an administrative district in the Free State of Saxony in eastern Germany, centered around the city of Zwickau and known for its industrial heritage and automotive history.
-
D.
Bezirk Cottbus
Bezirk Cottbus was an administrative district in the former East Germany, located in the southeast of the country and centered around the city of Cottbus.
-
E.
Bezirk Gera
Bezirk Gera was an administrative district of the former East Germany, centered around the city of Gera in the state of Thuringia.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c855a2481909801de9fd55686a4 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d035e9c8190bd9978987833ff3c |
completed | March 27, 2026, 7:08 a.m. |
Created at: March 22, 2026, 4:15 p.m.