Triple
T24144628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreis Erfurt-Land |
E598341
|
entity |
| Predicate | surroundedAsEnclave |
P7851
|
FINISHED |
| Object | urban district of Erfurt |
—
|
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: urban district of Erfurt | Statement: [Kreis Erfurt-Land, surroundedAsEnclave, urban district of Erfurt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surroundedAsEnclave Context triple: [Kreis Erfurt-Land, surroundedAsEnclave, urban district of Erfurt]
-
A.
surroundedOnThreeSidesBy
Indicates that one entity is positioned so that three of its sides are directly bordered or enclosed by another entity.
-
B.
surroundedCity
chosen
Indicates that one city is encircled or completely enclosed by another city or its surrounding territory.
-
C.
surroundedButDidNotInclude
Indicates that one entity completely encircled another in space or extent, while explicitly excluding that inner entity from its own area or membership.
-
D.
surrounds
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
E.
previouslySurroundedBy
Indicates that an entity was, at some earlier time, completely encircled or enclosed by another entity or group of entities.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e008efbc8190ac6c12d3ba5dd5d8 |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:29 p.m.