Triple
T21592709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plettenberg |
E532819
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Herscheid |
—
|
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: Herscheid | Statement: [Plettenberg, locatedNear, Herscheid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herscheid Context triple: [Plettenberg, locatedNear, Herscheid]
-
A.
Herscheid
chosen
Herscheid is a small municipality in the Märkischer Kreis district of North Rhine-Westphalia, Germany.
-
B.
Rheintal
Rheintal is a region in eastern Switzerland along the Rhine River, known for its valleys, towns, and cross-border connections with neighboring countries.
-
C.
Emstek
Emstek is a municipality in Lower Saxony, Germany, situated in the district of Cloppenburg and known for its rural character and agricultural economy.
-
D.
De Wolden
De Wolden is a rural municipality in the northeastern Netherlands known for its scenic landscapes, small villages, and agricultural character.
-
E.
Belmbrach
Belmbrach is a locality or district that forms part of the municipality or area of Roth, likely in 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadeb56c8190bce79efadf3c644d |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.