Triple
T23345806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irchel tram depot |
E591860
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Irchelpark |
—
|
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: Irchelpark | Statement: [Irchel tram depot, locatedNear, Irchelpark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irchelpark Context triple: [Irchel tram depot, locatedNear, Irchelpark]
-
A.
Irchelpark
chosen
Irchelpark is a large public park in Zurich, Switzerland, known for its landscaped green spaces, ponds, and integration with the University of Zurich’s Irchel campus.
-
B.
Alaunpark
Alaunpark is a popular urban green space in Dresden’s Neustadt district, known for its open lawns, recreational areas, and role as a central gathering spot for locals.
-
C.
Jenischpark
Jenischpark is a large historic landscape park in Hamburg known for its expansive lawns, old trees, and views of the River Elbe.
-
D.
Seeburgpark
Seeburgpark is a scenic lakeside public park in Kreuzlingen, Switzerland, known for its expansive green spaces, walking paths, and views over Lake Constance.
-
E.
Duden Park
Duden Park is a public green space in the Brussels municipality of Uccle, known for its wooded areas, walking paths, and recreational facilities.
- 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.