Triple
T13255265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelkheim |
E315641
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Taunus |
E97286
|
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: Taunus | Statement: [Kelkheim, locatedIn, Taunus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taunus Context triple: [Kelkheim, locatedIn, Taunus]
-
A.
Taunus
chosen
Taunus is a low mountain range in central Germany known for its forested hills, spa towns, and proximity to the Rhine-Main metropolitan region.
-
B.
Trysilelva
Trysilelva is a major river in eastern Norway that flows southward through the Trysil region and continues into Sweden as part of the Klarälven–Göta älv watercourse.
-
C.
Valberg
Valberg is a popular ski resort village in the southern French Alps known for its family-friendly slopes and sunny Mediterranean-alpine climate.
-
D.
Helvius
Helvius is an ancient Roman family name (nomen) associated with members of the Helvia gens, such as the physician Helvius Successus.
-
E.
Ehrwald
Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4240d881909f0ee898fd272826 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:24 p.m.