Triple
T23028166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lannesdorf |
E573380
|
entity |
| Predicate | hasNeighbouringDistrict |
P17964
|
FINISHED |
| Object | Mehlem |
—
|
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: Mehlem | Statement: [Lannesdorf, hasNeighbouringDistrict, Mehlem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mehlem Context triple: [Lannesdorf, hasNeighbouringDistrict, Mehlem]
-
A.
Mehlem
chosen
Mehlem is a subdistrict of the Bonn borough of Bad Godesberg in Germany, known for its scenic location along the Rhine River.
-
B.
Muhr
Muhr is a small Austrian municipality located in the mountainous Lungau region of the state of Salzburg.
-
C.
Melenki
Melenki is a small town in western Russia known for its traditional provincial character within the historical region of central European Russia.
-
D.
Mehli
Mehli is the given name of Mehli Mehta, an Indian conductor and violinist known for his contributions to Western classical music and for being the father of conductor Zubin Mehta.
-
E.
Mellte
Mellte is a river in South Wales known for its scenic gorges, waterfalls, and popularity with walkers and canyoners.
- 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1847f453881909a8f2affb48c64f1 |
completed | April 29, 2026, 4:09 a.m. |
Created at: April 17, 2026, 3:52 p.m.