Triple
T22565170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Havelte region |
E557928
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Havelte |
—
|
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: Havelte | Statement: [Havelte region, contains, Havelte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havelte Context triple: [Havelte region, contains, Havelte]
-
A.
Havelte
chosen
Havelte is a village in the Dutch province of Drenthe, known for its nearby prehistoric dolmens and scenic natural surroundings.
-
B.
Niederscheld
Niederscheld is a village and district of the town of Dillenburg in the Lahn-Dill-Kreis of Hesse, Germany.
-
C.
Bellingwedde
Bellingwedde was a former municipality in the province of Groningen in the Netherlands, known for its rural landscape and small villages near the German border.
-
D.
Vechta
Vechta is a town in Lower Saxony, Germany, known for its historical significance, university, and annual Stoppelmarkt fair.
-
E.
Waier
Waier is a small island in Australia's Torres Strait, traditionally inhabited by Torres Strait Islander peoples who speak the Meriam Mir language.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa9ebc8819098d74fb41e14bd7e |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.