Triple
T7044138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samtgemeinde Ahlden |
E163586
|
entity |
| Predicate | sharesLocalAdministrationFor |
P7936
|
FINISHED |
| Object | Eickeloh |
E639339
|
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: Eickeloh | Statement: [Samtgemeinde Ahlden, sharesLocalAdministrationFor, Eickeloh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eickeloh Context triple: [Samtgemeinde Ahlden, sharesLocalAdministrationFor, Eickeloh]
-
A.
Eickeloh
chosen
Eickeloh is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
-
B.
Oberholzer
Oberholzer is a surname of Germanic origin, commonly found in German-speaking regions and among their diasporas.
-
C.
Weitzel
Weitzel is a surname of likely German or Dutch origin borne by individuals such as Edu Weitzel Douwes Dekker.
-
D.
Trichardt
Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
-
E.
Nyhausen
Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e77415e88190ab65137382f1b155 |
completed | March 27, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794429b648190b6399a2447db07d0 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:37 p.m.