Triple
T13208482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harz National Park |
E314425
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Torfhaus |
E841227
|
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: Torfhaus | Statement: [Harz National Park, contains, Torfhaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torfhaus Context triple: [Harz National Park, contains, Torfhaus]
-
A.
Torfhaus
chosen
Torfhaus is a small settlement and popular tourist base in the Harz Mountains of Germany, known for its hiking trails and views of the Brocken.
-
B.
Wildhaus
Wildhaus is a village in the Swiss canton of St. Gallen, known as the alpine birthplace of Protestant reformer Huldrych Zwingli.
-
C.
Mossehaus
Mossehaus is a landmark early modernist office building in Berlin, Germany, renowned for its dynamic Expressionist façade designed by architect Erich Mendelsohn.
-
D.
Rohdenhaus
Rohdenhaus is a district or locality within the town of Wülfrath in North Rhine-Westphalia, Germany.
-
E.
Woermannhaus
Woermannhaus is a historic German colonial-era building in Swakopmund, Namibia, known for its distinctive architecture and prominent tower.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9cb7ac819095cff8699993c419 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f611b11c8190b9f89313eb2b5fab |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.