Triple
T4045504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heumen |
E84055
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Berg en Dal |
E84054
|
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: Berg en Dal | Statement: [Heumen, borderedBy, Berg en Dal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berg en Dal Context triple: [Heumen, borderedBy, Berg en Dal]
-
A.
Berg en Dal
chosen
Berg en Dal is a Dutch municipality in the province of Gelderland, known for its hilly landscape, forests, and proximity to the city of Nijmegen.
-
B.
Kungsängen
Kungsängen is a locality in Stockholm County, Sweden, serving as the administrative and population center of Upplands-Bro Municipality.
-
C.
Løten
Løten is a rural municipality in Innlandet county, Norway, known for its agricultural landscape and historic connections to painter Edvard Munch.
-
D.
Derendingen
Derendingen is a municipality in the canton of Solothurn in northwestern Switzerland, known as a residential and industrial community near the city of Solothurn.
-
E.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb5f85d48190ba80a0a24fbe438a |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55652228c8190a9f301676deb0055 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:37 p.m.