Triple
T10892338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steinfurt (district) |
E257209
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Greven |
E668890
|
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: Greven | Statement: [Steinfurt (district), contains, Greven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greven Context triple: [Steinfurt (district), contains, Greven]
-
A.
Greven
chosen
Greven is a town in the Münsterland region of North Rhine-Westphalia in western Germany, known for its proximity to Münster and its role as a local economic and transport hub.
-
B.
Heerdt
Heerdt is a district of Düsseldorf, Germany, located on the left bank of the Rhine and characterized by a mix of residential, commercial, and industrial areas.
-
C.
Scherpenzeel
Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
-
D.
Bredius
Bredius is a Dutch surname most notably associated with Abraham Bredius, a prominent art historian and expert on Dutch Golden Age painting.
-
E.
Werthhoven
Werthhoven is a village-level district within the municipality of Wachtberg in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75206354881908b148f2df3938513 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b9e5ddc81908cbd27e8db49dbaf |
completed | April 17, 2026, 1:54 p.m. |
Created at: April 8, 2026, 9:21 p.m.