Triple
T7367653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langeoog |
E169911
|
entity |
| Predicate | administrativeDistrict |
P2709
|
FINISHED |
| Object | Wittmund (district) |
E159879
|
NE 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: Wittmund (district) | Statement: [Langeoog, administrativeDistrict, Wittmund (district)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wittmund (district) Context triple: [Langeoog, administrativeDistrict, Wittmund (district)]
-
A.
Wittmund district
chosen
Wittmund district is a rural administrative district in Lower Saxony, Germany, located on the North Sea coast and encompassing part of the East Frisian region.
-
B.
Wittmund
Wittmund is a small town in Lower Saxony, Germany, known as an administrative center in the East Frisia region.
-
C.
Witzenhausen
Witzenhausen is a small town in northern Hesse, Germany, known for its cherry orchards and agricultural research institutions.
-
D.
Warendorf district
Warendorf district is a rural administrative district in the German state of North Rhine-Westphalia, known for its agricultural landscape and equestrian traditions.
-
E.
Bergheim district
Bergheim district is an urban area of Heidelberg, Germany, known for its mix of residential neighborhoods, commercial spaces, and university facilities including the Bergheim campus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17ea0608190955ac3474f6da7bb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802bc25908190ad444de63b7526a0 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:06 p.m.