Triple
T19068346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tangen |
E466724
|
entity |
| Predicate | hasMunicipalReformType |
P98268
|
FINISHED |
| Object | municipal merger |
—
|
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: municipal merger | Statement: [Tangen, hasMunicipalReformType, municipal merger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalReformType Context triple: [Tangen, hasMunicipalReformType, municipal merger]
-
A.
municipalityReform
Indicates a formal reorganization or restructuring of a municipality’s administrative boundaries, governance, or status.
-
B.
hasMunicipalFormation
Indicates that an administrative or territorial unit is organized into, or associated with, a specific municipal formation as its local self-governing structure.
-
C.
hasMunicipalityType
Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
-
D.
typeOfReforms
chosen
Indicates the specific kinds or categories of reforms associated with an entity or situation.
-
E.
formerMunicipalityType
Indicates that an entity was previously classified as a specific type of municipality but no longer holds that municipal status.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19b94d08190865b62d98f718bb0 |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.