Triple
T23345660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höngg tram stop |
E591856
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Höngg |
—
|
NE NERFINISHED |
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: [Höngg tram stop, locatedIn, Höngg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Höngg Context triple: [Höngg tram stop, locatedIn, Höngg]
-
A.
Höngg
chosen
Höngg is a residential district in the city of Zurich, Switzerland, known for its hillside location above the Limmat River, green spaces, and village-like character.
-
B.
Domleschg
Domleschg is a scenic valley region and municipality in the Swiss Alps known for its orchards, castles, and location within the canton of Graubünden.
-
C.
Stoos
Stoos is a small car-free mountain village and ski resort in central Switzerland, known for its scenic alpine setting and steep funicular railway.
-
D.
Zürichhorn
Zürichhorn is a popular lakeside park and recreational area in Zurich known for its green spaces, lakeshore promenade, and cultural attractions.
-
E.
Fiescheralp
Fiescheralp is a car-free alpine resort village in the Swiss Alps, known for its ski slopes, hiking trails, and panoramic views of the Aletsch Glacier.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983697408190b31817174ed4e77b |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:19 p.m.