Triple
T22133844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haderslev Dam |
E546972
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Haderslev urban area |
E128727
|
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: Haderslev urban area | Statement: [Haderslev Dam, partOf, Haderslev urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haderslev urban area Context triple: [Haderslev Dam, partOf, Haderslev urban area]
-
A.
Haderslev Municipality
Haderslev Municipality is an administrative municipality in southern Denmark that includes the town of Haderslev and surrounding areas.
-
B.
Haderslev
chosen
Haderslev is a historic town in southern Denmark known for its medieval cathedral, old town center, and role as a regional cultural and administrative hub.
-
C.
Herlev Municipality
Herlev Municipality is a suburban administrative region in eastern Denmark that forms part of the Greater Copenhagen area.
-
D.
Herlev
Herlev is a suburban municipality and town in the Capital Region of Denmark, located just northwest of central Copenhagen.
-
E.
Hillerød
Hillerød is a Danish town on the island of Zealand, known for the historic Frederiksborg Castle and its role as a regional administrative and cultural center.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129b8f4248190b6342c8d00942c25 |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa60077488190ad25ee5bc51d19f5 |
completed | May 18, 2026, 5:39 a.m. |
Created at: April 16, 2026, 8:32 p.m.