Triple
T15634648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nister |
E375907
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Westerwaldkreis |
E803194
|
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: Westerwaldkreis | Statement: [Nister, locatedIn, Westerwaldkreis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westerwaldkreis Context triple: [Nister, locatedIn, Westerwaldkreis]
-
A.
Westerwaldkreis
chosen
Westerwaldkreis is a rural district in the German state of Rhineland-Palatinate, known for its forested low mountain landscape and traditional ceramics industry.
-
B.
Odenwaldkreis
Odenwaldkreis is a rural district in the state of Hesse, Germany, known for its forested low mountain landscapes and small historic towns.
-
C.
Rhein-Sieg-Kreis
Rhein-Sieg-Kreis is a district in the German state of North Rhine-Westphalia, situated along the Rhine River and surrounding the city of Bonn.
-
D.
Rheingau-Taunus-Kreis
Rheingau-Taunus-Kreis is a rural district in the German state of Hesse, known for its wine-growing Rheingau region and its location along the Taunus mountains.
-
E.
Rhein-Lahn-Kreis
Rhein-Lahn-Kreis is a rural district in the German state of Rhineland-Palatinate, known for its scenic landscapes along the Rhine and Lahn rivers and its historic towns and castles.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb8b4c48190b80fea6877483089 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa124e7d48190ac25e9541dea0122 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:14 a.m.