Triple
T3788530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rathaus Chemnitz |
E89586
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Markt Chemnitz |
E288851
|
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: Markt Chemnitz | Statement: [Rathaus Chemnitz, locatedOn, Markt Chemnitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markt Chemnitz Context triple: [Rathaus Chemnitz, locatedOn, Markt Chemnitz]
-
A.
Chemnitz city centre
chosen
Chemnitz city centre is the main commercial and cultural hub of Chemnitz, Germany, featuring key shopping streets, historic buildings, and public transport links.
-
B.
Rathaus Chemnitz
Rathaus Chemnitz is the historic town hall complex of the city of Chemnitz, Germany, serving as a central landmark and seat of the municipal administration.
-
C.
Kohlmarkt
Kohlmarkt is a historic and upscale shopping street in Vienna’s city center, known for its luxury boutiques and elegant architecture.
-
D.
Grüner Markt
Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
-
E.
Chemnitz
Chemnitz is a city in eastern Germany known for its industrial heritage and post-reunification urban redevelopment.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76570b481909c26d47a3251b180 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb1c90648190a76cee07508a83b9 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:14 p.m.