Triple
T13528242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imari |
E323065
|
entity |
| Predicate | hasSisterCity |
P919
|
FINISHED |
| Object | Meissen |
E74716
|
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: Meissen | Statement: [Imari, hasSisterCity, Meissen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meissen Context triple: [Imari, hasSisterCity, Meissen]
-
A.
Meissen
chosen
Meissen is a historic town in eastern Germany renowned for its medieval architecture and as the birthplace of European hard-paste porcelain.
-
B.
Glashütten
Glashütten is a small municipality in the Hochtaunus district of Hesse, Germany, known for its scenic location in the Taunus mountains and its residential, forested character.
-
C.
Glashütte
Glashütte is a former municipality in northern Germany that was incorporated into the town of Norderstedt.
-
D.
Meissen district
Meissen district is an administrative district in the Free State of Saxony in eastern Germany, known for its historic towns, wine-growing areas, and proximity to the city of Dresden.
-
E.
City of Meissen
The City of Meissen is a historic town in Saxony, Germany, renowned as the birthplace of European hard-paste porcelain and noted for its medieval architecture and hilltop cathedral.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7549dda6481908e9305690488b1af |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.