Triple
T17574915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hochtaunuskreis |
E428038
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Usingen |
—
|
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: Usingen | Statement: [Hochtaunuskreis, contains, Usingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Usingen Context triple: [Hochtaunuskreis, contains, Usingen]
-
A.
Usingen
chosen
Usingen is a small historic town in the Hochtaunus district of Hesse, Germany, known for its picturesque setting in the Taunus hills and its traditional German architecture.
-
B.
Tavarede
Tavarede is a civil parish within the municipality of Figueira da Foz in central Portugal, known for its residential character and local cultural traditions.
-
C.
Areuse
Areuse is a river in western Switzerland that flows through the Jura Mountains and picturesque gorges before emptying into Lake Neuchâtel.
-
D.
Userin
Userin is a small settlement in the Mecklenburgische Seenplatte region of Mecklenburg-Vorpommern in northeastern Germany.
-
E.
Uesen
Uesen is a district or locality within the town of Achim in Lower Saxony, 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.