Triple
T22154058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montferland |
E547486
|
entity |
| Predicate | hasBorderWith |
P224
|
FINISHED |
| Object | Elten |
—
|
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: Elten | Statement: [Montferland, hasBorderWith, Elten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elten Context triple: [Montferland, hasBorderWith, Elten]
-
A.
Elten
chosen
Elten is a historic village in western Germany near the Dutch border, known for its medieval heritage and the former Imperial Abbey that once dominated the area.
-
B.
Elsene
Elsene is a vibrant, multicultural municipality of Brussels in Belgium, known for its universities, art scene, and lively urban neighborhoods.
-
C.
Velten
Velten is a small town in the German state of Brandenburg, known historically for its stove and ceramics industry and its location just northwest of Berlin.
-
D.
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.
-
E.
Ternaard
Ternaard is a small village in the Dutch province of Friesland, known for its rural character and location near the Wadden Sea.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f6d5b88190badee2e515a3b633 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.