Triple
T22259719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holtemme |
E550185
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Holtemme |
—
|
NE NERFINISHED |
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: Holtemme | Statement: [Holtemme, hasGermanName, Holtemme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holtemme Context triple: [Holtemme, hasGermanName, Holtemme]
-
A.
Holtemme
chosen
The Holtemme is a small river in the Harz region of Saxony-Anhalt, Germany, flowing through towns such as Wernigerode before joining the Bode.
-
B.
Holsen
Holsen is a village and district of the town of Bünde in North Rhine-Westphalia, Germany.
-
C.
Hulten
Hulten is a small village in the Dutch province of North Brabant, located within the municipality of Gilze en Rijen.
-
D.
Holtenau
Holtenau is a district of the city of Kiel in northern Germany, situated at the entrance of the Kiel Canal and known for its maritime and aviation facilities.
-
E.
Hodenhagen
Hodenhagen is a small municipality in Lower Saxony, Germany, known for its rural setting along the Aller River and proximity to attractions like the Serengeti Park safari zoo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c5b54c8190854690ba599639fa |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.