Triple
T23134204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allerød Municipality |
E577263
|
entity |
| Predicate | hasAdministrativeCenter |
P1474
|
FINISHED |
| Object | Allerød |
—
|
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: Allerød | Statement: [Allerød Municipality, hasAdministrativeCenter, Allerød]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allerød Context triple: [Allerød Municipality, hasAdministrativeCenter, Allerød]
-
A.
Allerød
chosen
Allerød is a town in northeastern Zealand, Denmark, known as a suburban community within the Greater Copenhagen area.
-
B.
Thyborøn
Thyborøn is a coastal fishing town and tourist destination in western Jutland, Denmark, known for its harbor, North Sea beaches, and World War II coastal fortifications.
-
C.
Haderup
Haderup is a small town in Denmark, known locally as a rural community that gave its name to the former Aulum-Haderup Municipality.
-
D.
Vigerslev
Vigerslev is a neighborhood within the Valby district of Copenhagen, Denmark, known primarily as a residential area with local amenities and transport links.
-
E.
Hardegsen
Hardegsen is a small town in Lower Saxony, Germany, known for its medieval castle and historic town center.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8ab9b08190969984f8c4494b0f |
completed | April 29, 2026, 4:52 a.m. |
Created at: April 17, 2026, 4 p.m.