Triple
T15028500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnhem–Winterswijk railway |
E378277
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Varsseveld |
E934177
|
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: Varsseveld | Statement: [Arnhem–Winterswijk railway, serves, Varsseveld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varsseveld Context triple: [Arnhem–Winterswijk railway, serves, Varsseveld]
-
A.
Varsseveld
chosen
Varsseveld is a village in the Dutch province of Gelderland, known as the birthplace of renowned football coach Guus Hiddink.
-
B.
Vezhof
Vezhof is a constructed language associated with the Great Stallion setting, likely designed to reflect the culture and themes of that fictional world.
-
C.
Vanylven
Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
-
D.
Orvelterveld
Orvelterveld is a small rural settlement in the municipality of Midden-Drenthe in the Dutch province of Drenthe.
-
E.
Tyvholm
Tyvholm is one of the small Danish islands that form part of the Hirsholmene archipelago in the Kattegat.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd967588190821cf47e9734db21 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:58 a.m.