Triple
T34615910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danish regions |
E888862
|
entity |
| Predicate | lowestLevelAbove |
P179704
|
FINISHED |
| Object | Danish municipalities |
—
|
LITERAL 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: Danish municipalities | Statement: [Danish regions, lowestLevelAbove, Danish municipalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowestLevelAbove Context triple: [Danish regions, lowestLevelAbove, Danish municipalities]
-
A.
lowestLevelLabel
Indicates that the subject is associated with the most specific or deepest-level label in a hierarchical labeling or classification structure.
-
B.
highestAdministrativeLevelBelow
Indicates that one administrative unit is the most senior (top-ranked) level that is still subordinate to another specified administrative unit.
-
C.
lowestOrder
Indicates that one entity has the smallest or minimal order, rank, or priority relative to a set of comparable entities.
-
D.
lowestZone
Indicates that one entity occupies or corresponds to the lowest-ranked or lowest-level zone among a set of zones.
-
E.
lowestPoint
Indicates that one entity is the point with the minimum vertical position or value relative to another entity or within a specified context.
- F. None of above. chosen
Provenance (4 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7238172748190b8cd340ad1f4ba80 |
completed | May 3, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f72349f1108190b6a06758ab2f40bb |
completed | May 3, 2026, 10:28 a.m. |
Created at: May 1, 2026, 2:03 a.m.