Triple
T19503595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land van Cuijk |
E487964
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Escharen |
—
|
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: Escharen | Statement: [Land van Cuijk, containsSettlement, Escharen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Escharen Context triple: [Land van Cuijk, containsSettlement, Escharen]
-
A.
Escharen
chosen
Escharen is a village in the Dutch province of North Brabant that was formerly an independent municipality before being incorporated into a larger administrative unit.
-
B.
Eschen
Eschen is a municipality in northern Liechtenstein known for its residential character and role as one of the country’s larger population centers.
-
C.
Eschenlaine
Eschenlaine is a small river in Bavaria, Germany, that serves as a tributary of the Loisach.
-
D.
Echandens
Echandens is a municipality in the canton of Vaud in western Switzerland, situated near Lausanne in a region characterized by rivers, farmland, and suburban residential areas.
-
E.
Schellerten
Schellerten is a rural municipality in Lower Saxony, Germany, characterized by its agricultural landscape and small-village communities.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6350f8d888190a4809c83522933d4 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.