Triple
T15250961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elbsandsteingebirge |
E364515
|
entity |
| Predicate | hasTrail |
P3625
|
FINISHED |
| Object |
Malerweg
Malerweg is a famous long-distance hiking trail in Germany that winds through the dramatic rock formations and scenic landscapes of the Elbe Sandstone Mountains (Saxon Switzerland).
|
E1145999
|
NE FINISHED |
How this triple was built (4 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: Malerweg | Statement: [Elbsandsteingebirge, hasTrail, Malerweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malerweg Context triple: [Elbsandsteingebirge, hasTrail, Malerweg]
-
A.
Spaklerweg
Spaklerweg is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
B.
Westphalweg
Westphalweg is a station on Berlin’s U6 U-Bahn line serving the Tempelhof-Schöneberg district in the southern part of the city.
-
C.
Breedeweg
Breedeweg is a village in the Dutch province of Gelderland, located within the municipality of Berg en Dal near the German border.
-
D.
Gaasperdammerweg
Gaasperdammerweg is a major roadway in Amsterdam’s southeastern area, running near the Gaasperplas recreational lake and park.
-
E.
Schluefweg
Schluefweg is the former ice hockey arena in Kloten, Switzerland, that long served as the home venue of the EHC Kloten club.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Malerweg Triple: [Elbsandsteingebirge, hasTrail, Malerweg]
Generated description
Malerweg is a famous long-distance hiking trail in Germany that winds through the dramatic rock formations and scenic landscapes of the Elbe Sandstone Mountains (Saxon Switzerland).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malerweg Target entity description: Malerweg is a famous long-distance hiking trail in Germany that winds through the dramatic rock formations and scenic landscapes of the Elbe Sandstone Mountains (Saxon Switzerland).
-
A.
Spaklerweg
Spaklerweg is a metro station in Amsterdam that serves as a stop on the city’s rapid transit network.
-
B.
Westphalweg
Westphalweg is a station on Berlin’s U6 U-Bahn line serving the Tempelhof-Schöneberg district in the southern part of the city.
-
C.
Breedeweg
Breedeweg is a village in the Dutch province of Gelderland, located within the municipality of Berg en Dal near the German border.
-
D.
Gaasperdammerweg
Gaasperdammerweg is a major roadway in Amsterdam’s southeastern area, running near the Gaasperplas recreational lake and park.
-
E.
Schluefweg
Schluefweg is the former ice hockey arena in Kloten, Switzerland, that long served as the home venue of the EHC Kloten club.
- F. None of above. chosen
Provenance (5 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f728648190b2c86e4528542b65 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5f390bc8190bc0180c118e1523c |
completed | May 9, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69fee68055b88190afa0e3b1bc2b13bb |
completed | May 9, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee7190a6c81908fa7376f3e3c5371 |
completed | May 9, 2026, 7:49 a.m. |
Created at: April 10, 2026, 3:13 a.m.