Triple
T17574920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hochtaunuskreis |
E428038
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Glashütten |
—
|
NE NERFINISHED |
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: Glashütten | Statement: [Hochtaunuskreis, contains, Glashütten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glashütten Context triple: [Hochtaunuskreis, contains, Glashütten]
-
A.
Glashütten
chosen
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.
-
B.
Glashütte
Glashütte is a renowned German town in Saxony famous worldwide as a historic center of high-end mechanical watchmaking.
-
C.
Glashütte
Glashütte is a former municipality in northern Germany that was incorporated into the town of Norderstedt.
-
D.
Meissen
Meissen is a historic town in eastern Germany renowned for its medieval architecture and as the birthplace of European hard-paste porcelain.
-
E.
Speßhardt
Speßhardt is a locality or district that forms part of the town of Calw in the state of Baden-Württemberg, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4593403648190836266dbdb6cfc9f |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.