Triple
T8371345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DE-BW |
E197463
|
entity |
| Predicate | subdivisionTypeInISOStandard |
P3599
|
FINISHED |
| Object | state |
—
|
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: state | Statement: [DE-BW, subdivisionTypeInISOStandard, state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdivisionTypeInISOStandard Context triple: [DE-BW, subdivisionTypeInISOStandard, state]
-
A.
hasTypeOfSubdivision
Indicates that one administrative or territorial unit is classified as a specific kind or category of subdivision.
-
B.
subdivisionISOName
Indicates the standardized ISO-recognized name assigned to a specific administrative subdivision within a country.
-
C.
hasSubdivisionStandard
Indicates that a governing standard or specification defines how an entity is to be subdivided into smaller parts or units.
-
D.
traditionalSubdivisionOf
Indicates that one entity is a historically or culturally recognized sub-unit or component region of another, according to traditional (rather than strictly modern administrative) divisions.
-
E.
subdivisionRank
chosen
Indicates the hierarchical level or type of administrative or territorial subdivision that an entity occupies within a larger organizational or geographic structure.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a509dc81909e0ea4c66b21d84f |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:01 p.m.