Triple
T16805786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukenburg district |
E408477
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lankforst |
E1235744
|
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: Lankforst | Statement: [Dukenburg district, contains, Lankforst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lankforst Context triple: [Dukenburg district, contains, Lankforst]
-
A.
Lankforst
chosen
Lankforst is a residential neighborhood in the Dukenburg district of Nijmegen in the Netherlands, known for its post-war urban planning and green surroundings.
-
B.
Lindfors
Lindfors is a Swedish-origin surname borne by various notable individuals in the arts, sports, and public life.
-
C.
Liausson
Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
-
D.
Kluuvi
Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
-
E.
Tarforst
Tarforst is a residential and academic district of the German city of Trier, known in part for hosting parts of the University of Trier campus.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cc25dc81909443b2c83155267a |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb0dce448190b20ca3d60d9fc475 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:22 a.m.