Triple
T22544021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Peter-Ording |
E557368
|
entity |
| Predicate | hasBeachWidth |
P148597
|
FINISHED |
| Object | up to several hundred meters |
—
|
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: up to several hundred meters | Statement: [St. Peter-Ording, hasBeachWidth, up to several hundred meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeachWidth Context triple: [St. Peter-Ording, hasBeachWidth, up to several hundred meters]
-
A.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
-
B.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
C.
hasBeachShape
Indicates that one entity possesses or exhibits a particular shape or form of a beach.
-
D.
hasBeachSurface
Indicates that one entity has a beach characterized by a particular type of surface.
-
E.
hasBeachTagRequirement
Indicates that something is subject to a specific requirement or condition related to beach access, use, or tagging.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f33c9cc819086d098f36e4121dc |
completed | April 29, 2026, 1:30 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:51 p.m.