Triple
T20053169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pezinok District |
E499255
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Limbach |
—
|
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: Limbach | Statement: [Pezinok District, containsMunicipality, Limbach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limbach Context triple: [Pezinok District, containsMunicipality, Limbach]
-
A.
Limbach
chosen
Limbach is a small Slovak village known for its viticulture and traditional wine-making in the foothills of the Little Carpathians.
-
B.
Lauibach
Lauibach is a stream in Switzerland that serves as a primary tributary feeding into Lake Lungern in the canton of Obwalden.
-
C.
Lambach
Lambach is a market town in Upper Austria known for its historic Benedictine monastery and its location along the Traun River.
-
D.
Heimbach
Heimbach is a small town in North Rhine-Westphalia, Germany, known for its scenic location in the Eifel region and its historic castle and pilgrimage sites.
-
E.
Lorsbach
Lorsbach is a district of the town Hofheim am Taunus in the German state of Hesse, situated in the Taunus mountain region.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6633043a481908359ad232607182a |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.