Triple
T6923320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hönggerberg hill |
E160240
|
entity |
| Predicate | hasNameInGerman |
P22792
|
FINISHED |
| Object | Hönggerberg |
E160240
|
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: Hönggerberg | Statement: [Hönggerberg hill, hasNameInGerman, Hönggerberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hönggerberg Context triple: [Hönggerberg hill, hasNameInGerman, Hönggerberg]
-
A.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
B.
Sihlwald
Sihlwald is a large forest and nature reserve near Zurich, Switzerland, known for its protected, near-natural woodland and recreational hiking trails.
-
C.
Chuenisbärgli
Chuenisbärgli is a renowned World Cup alpine ski racing slope in Adelboden, Switzerland, known for its challenging giant slalom course.
-
D.
Hönggerberg hill
chosen
Hönggerberg hill is a prominent elevation in Zurich, Switzerland, known for hosting part of ETH Zurich’s science and technology campus and offering views over the city and the Limmat Valley.
-
E.
Sunnbüel
Sunnbüel is a high-altitude alpine plateau and hiking area in the Bernese Oberland region of Switzerland, known for its scenic mountain landscapes and outdoor activities.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fd159c819092a69d1a24e22dd5 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7513bcd2c8190853bc6e8a33a1673 |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:26 p.m.