Triple
T34458627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groninger Veenkoloniën |
E884571
|
entity |
| Predicate | hasLandDivision |
P199424
|
FINISHED |
| Object | long narrow lots perpendicular to canals |
—
|
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: long narrow lots perpendicular to canals | Statement: [Groninger Veenkoloniën, hasLandDivision, long narrow lots perpendicular to canals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandDivision Context triple: [Groninger Veenkoloniën, hasLandDivision, long narrow lots perpendicular to canals]
-
A.
hasCivilDivision
Indicates that one administrative or political entity is subdivided into, or is associated with, a specific civil division (such as a county, district, or municipality).
-
B.
hasFieldDivision
Indicates that one entity is organizationally divided into, or associated with, a specific field-based subdivision of another entity.
-
C.
hasSubdivision
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
-
D.
hasLandBoundary
Indicates that one entity shares a common land border with another entity.
-
E.
hasTerritorialSubdivisionType
Indicates that an entity’s territorial subdivisions are of a specified administrative or geographic type (e.g., province, county, district).
- 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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff38b960808190a8263348f1e5c0e4 |
completed | May 9, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69ff37d97d9c8190849b2bac14f9af1d |
completed | May 9, 2026, 1:34 p.m. |
| PDg | Predicate description generation | batch_69ff38b8843c819097359a4d77e9d442 |
completed | May 9, 2026, 1:38 p.m. |
Created at: May 1, 2026, 2 a.m.