Triple
T10852284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 Danish Municipal Reform |
E256176
|
entity |
| Predicate | newNumberOfMunicipalities |
P30910
|
FINISHED |
| Object | 98 |
—
|
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: 98 | Statement: [2007 Danish Municipal Reform, newNumberOfMunicipalities, 98]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: newNumberOfMunicipalities Context triple: [2007 Danish Municipal Reform, newNumberOfMunicipalities, 98]
-
A.
hasNumberOfMunicipalities
chosen
Indicates the relationship that specifies how many municipalities are associated with or contained within a given administrative or geographic entity.
-
B.
municipalityReform
Indicates a formal reorganization or restructuring of a municipality’s administrative boundaries, governance, or status.
-
C.
numberOfDistricts
Indicates the total count of districts associated with a given entity or area.
-
D.
municipalityPopulation
Indicates the total number of inhabitants living within a given municipality.
-
E.
increasedNumberOfCouncilMembersTo
Indicates that an action or decision resulted in raising the total number of council members to a specified value.
- F. None of above.
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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75117b76c8190b0fb216b1428c3c7 |
completed | April 9, 2026, 7:11 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.