Triple
T17120470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irchel |
E415450
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object | Milchbuck tram stop |
E597821
|
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: Milchbuck tram stop | Statement: [Irchel, hasTransportConnection, Milchbuck tram stop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milchbuck tram stop Context triple: [Irchel, hasTransportConnection, Milchbuck tram stop]
-
A.
Milchbuck tram stop
chosen
Milchbuck tram stop is a public transport station in Zürich that serves as part of the city’s tram network.
-
B.
Seebach tram stop
Seebach tram stop is a public transport stop in the Seebach district of Zürich, Switzerland, served by the city’s tram network.
-
C.
Stettbach tram stop
Stettbach tram stop is a public transport stop in Zürich serving as part of the city’s tram network and providing connections to other local and regional transit services.
-
D.
Leimbach tram stop
Leimbach tram stop is a public transport stop on the Zürich tram network serving the Leimbach district of Zürich, Switzerland.
-
E.
Albisgütli tram stop
Albisgütli tram stop is a public transport stop in Zürich, Switzerland, serving as part of the city’s tram system.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8092b548190b45c1695be47edc2 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a0e11108190bfcf858142aa9ff3 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.