Triple
T17197315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlangenweg |
E417385
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Philosophenweg |
—
|
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: Philosophenweg | Statement: [Schlangenweg, connectsTo, Philosophenweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philosophenweg Context triple: [Schlangenweg, connectsTo, Philosophenweg]
-
A.
Philosophenweg
chosen
Philosophenweg is a scenic hillside path in Heidelberg, Germany, famed for its panoramic views of the old town and Heidelberg Castle.
-
B.
Strobelallee
Strobelallee is a street in Dortmund, Germany, known for running alongside the Signal Iduna Park football stadium.
-
C.
Museumstrasse
Museumstrasse is a street that lends its name to the surrounding station area, likely serving as a notable local thoroughfare or landmark.
-
D.
Goethestraße
Goethestraße is a street in the vicinity of Steintorplatz, likely situated in an urban German setting and named after the writer Johann Wolfgang von Goethe.
-
E.
Berchtesgadener Weg
Berchtesgadener Weg is a classic and demanding alpine climbing route on the Watzmann’s East Face in the Bavarian Alps.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dab718c8190b6f5b08189cf2eb2 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 5:38 a.m.