Triple
T1361604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hönggerberg campus |
E29108
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Höngg |
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: Höngg | Statement: [Hönggerberg campus, hasNeighbourhood, Höngg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Höngg Context triple: [Hönggerberg campus, hasNeighbourhood, Höngg]
-
A.
Alphubel
Alphubel is a prominent glaciated mountain in the Swiss Pennine Alps, located between the Mattertal and Saastal valleys and popular with climbers for its relatively accessible routes.
-
B.
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.
-
C.
Lauteraarhorn
Lauteraarhorn is a prominent, steep pyramidal peak in the Swiss Bernese Alps, known for its challenging climbs and striking glaciated surroundings.
-
D.
Bettlach
Bettlach is a Swiss municipality located in the canton of Solothurn.
-
E.
Mürren
Mürren is a traditional, car-free mountain village and popular ski resort perched high above the Lauterbrunnen Valley in the Swiss Bernese Alps.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b2fb448190bef31375169b4666 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace566694c81909b07143855014884 |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:57 p.m.