Triple
T7776837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berchtesgadener Land district |
E221414
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Laufen |
E502072
|
NE FINISHED |
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: Laufen | Statement: [Berchtesgadener Land district, contains, Laufen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laufen Context triple: [Berchtesgadener Land district, contains, Laufen]
-
A.
Laufen
chosen
Laufen is a historic Bavarian town in southeastern Germany situated on the banks of the Salzach River near the Austrian border.
-
B.
Run
"Run" is a powerfully emotive rock ballad by Snow Patrol that became one of the band's breakthrough hits and a fan-favorite anthem.
-
C.
Run
"Run" is a powerful pop ballad popularized by British singer Leona Lewis, known for its soaring vocals and emotional delivery.
-
D.
Marathon
Marathon is a city in the Florida Keys known for its island chain, boating and fishing culture, and position along the historic route of the Overseas Highway and former Overseas Railroad.
-
E.
Marathon
Marathon is a small town in northwestern Ontario, Canada, known historically for its forestry and mining industries along the north shore of Lake Superior.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69caa4d22ee081908081b5f5ecdb4d39 |
completed | March 30, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf58a86548190b870417692e4b654 |
completed | March 30, 2026, 10:13 p.m. |
Created at: March 30, 2026, 4:11 p.m.