Triple
T30577319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hügelland |
E778284
|
entity |
| Predicate | hasTypicalAccessibility |
P196286
|
FINISHED |
| Object | good for agriculture and settlement |
—
|
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: good for agriculture and settlement | Statement: [Hügelland, hasTypicalAccessibility, good for agriculture and settlement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalAccessibility Context triple: [Hügelland, hasTypicalAccessibility, good for agriculture and settlement]
-
A.
hasTypicalAccess
Indicates that one entity normally or customarily has the ability, permission, or means to access or use another entity.
-
B.
hasAccessibleAccess
Indicates that an entity provides a form of access that is usable and reachable under defined accessibility conditions or standards.
-
C.
hasAccessibilityVariation
Indicates that one entity differs from another in terms of accessibility features, conditions, or support.
-
D.
hasAccessibilityLimitation
Indicates that an entity is subject to specific constraints or limitations affecting its accessibility or ease of access.
-
E.
valueAccessibility
Indicates how easily or readily a value can be obtained, used, or understood by relevant parties.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
| PDg | Predicate description generation | batch_69fe1fd58ad8819093d3d705e8521014 |
completed | May 8, 2026, 5:39 p.m. |
Created at: April 29, 2026, 8:23 p.m.