Triple
T19846427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limburg-Weilburg |
E476870
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Runkel |
—
|
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: Runkel | Statement: [Limburg-Weilburg, contains, Runkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Runkel Context triple: [Limburg-Weilburg, contains, Runkel]
-
A.
Runkel
chosen
Runkel is a small historic town in the German state of Hesse, known for its medieval hilltop castle overlooking the Lahn River.
-
B.
Reynke
Reynke is a linguistic variant of the name Reynard, commonly associated with the folkloric trickster fox character found in European medieval literature.
-
C.
Eichelbaum
Eichelbaum is a German-language surname borne by various individuals, including figures in law, arts, and public life.
-
D.
Roderesch
Roderesch is a small village in the municipality of Noordenveld in the province of Drenthe in the northeastern Netherlands.
-
E.
Huncke
Huncke is the surname of Herbert Huncke, an influential American writer and key figure of the Beat Generation whose life and stories deeply impacted authors like Jack Kerouac and William S. Burroughs.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65809da2c8190bb579ef42513b74d |
completed | April 20, 2026, 4:44 p.m. |
Created at: April 10, 2026, 1:51 p.m.