Triple
T22565109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D48 |
E557926
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | Aa en Hunze |
—
|
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: Aa en Hunze | Statement: [D48, municipality, Aa en Hunze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aa en Hunze Context triple: [D48, municipality, Aa en Hunze]
-
A.
Aa en Hunze
chosen
Aa en Hunze is a rural municipality in the northeastern Netherlands known for its natural landscapes, historic villages, and prehistoric dolmens.
-
B.
De Aar
De Aar is a railway and agricultural town in South Africa’s Northern Cape, historically known as a major rail junction and service center for the surrounding Karoo region.
-
C.
La Meinau
La Meinau is a football stadium in Strasbourg, France, best known as the long-time home ground of RC Strasbourg Alsace.
-
D.
Hendungen
Hendungen is a small municipality in the Rhön-Grabfeld district of northern Bavaria, Germany.
-
E.
Hünxe
Hünxe is a municipality in the Wesel district of North Rhine-Westphalia, Germany, known for its rural character and location within the Lower Rhine region.
- 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.