Triple
T9505283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berchtesgaden Alps |
E229252
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Hochkalter
Hochkalter is a prominent mountain peak in the Bavarian Alps of southeastern Germany, known for its rugged limestone formations and popular alpine climbing routes.
|
E803256
|
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: Hochkalter | Statement: [Berchtesgaden Alps, contains, Hochkalter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hochkalter Context triple: [Berchtesgaden Alps, contains, Hochkalter]
-
A.
Hitzig
Hitzig is a German surname most notably associated with 19th-century figures such as architect Friedrich Hitzig.
-
B.
Heiss
Heiss is the surname of Alanna Heiss, an influential American curator and founder of New York’s pioneering contemporary art institution MoMA PS1.
-
C.
Hohe Marter
Hohe Marter is a subway station on the U3 line of the Nuremberg U-Bahn in Nuremberg, Germany.
-
D.
Warmbrodt
Warmbrodt is a surname most notably associated with Sara Sothern, the American stage actress and mother of film star Elizabeth Taylor.
-
E.
Herztal
Herztal is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
- 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: Hochkalter Triple: [Berchtesgaden Alps, contains, Hochkalter]
Generated description
Hochkalter is a prominent mountain peak in the Bavarian Alps of southeastern Germany, known for its rugged limestone formations and popular alpine climbing routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hochkalter Target entity description: Hochkalter is a prominent mountain peak in the Bavarian Alps of southeastern Germany, known for its rugged limestone formations and popular alpine climbing routes.
-
A.
Hitzig
Hitzig is a German surname most notably associated with 19th-century figures such as architect Friedrich Hitzig.
-
B.
Heiss
Heiss is the surname of Alanna Heiss, an influential American curator and founder of New York’s pioneering contemporary art institution MoMA PS1.
-
C.
Hohe Marter
Hohe Marter is a subway station on the U3 line of the Nuremberg U-Bahn in Nuremberg, Germany.
-
D.
Warmbrodt
Warmbrodt is a surname most notably associated with Sara Sothern, the American stage actress and mother of film star Elizabeth Taylor.
-
E.
Herztal
Herztal is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany.
- 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9850fe6c8190a5a96cfae12562c6 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a1de2d88190a6a10379d2297510 |
completed | April 4, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69d13ad61c6c8190baad9c4f166ca1ae |
completed | April 4, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13b4a7b808190badf83c88fb06b82 |
completed | April 4, 2026, 4:24 p.m. |
Created at: March 30, 2026, 7:57 p.m.