Triple
T15438027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meschede |
E369819
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Eslohe |
E564063
|
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: Eslohe | Statement: [Meschede, locatedNear, Eslohe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eslohe Context triple: [Meschede, locatedNear, Eslohe]
-
A.
Eslohe
chosen
Eslohe is a municipality in the Hochsauerland district of North Rhine-Westphalia, Germany, known for its rural character and location in the Sauerland region.
-
B.
Andechs
Andechs is a Bavarian town best known for its historic Benedictine abbey and renowned monastic brewery that attract pilgrims and beer enthusiasts alike.
-
C.
Senftenberg
Senftenberg is a town in eastern Germany known for its lakeside recreation area and former lignite mining sites, located in the federal state of Brandenburg.
-
D.
Kraichgau
Kraichgau is a hilly, fertile region in southwestern Germany known for its agriculture, vineyards, and picturesque landscapes between the Black Forest and the Odenwald.
-
E.
Neuhof
Neuhof is a district (Ortsteil) of the town of Taunusstein in the Rheingau-Taunus-Kreis region of Hesse, Germany.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a7d44481909a26b5cc331a3259 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.