Triple
T21645631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münchenstein |
E534204
|
entity |
| Predicate | hasTramLine |
P17788
|
FINISHED |
| Object | Basel tram line 11 |
—
|
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: Basel tram line 11 | Statement: [Münchenstein, hasTramLine, Basel tram line 11]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Basel tram line 11 Context triple: [Münchenstein, hasTramLine, Basel tram line 11]
-
A.
Basel tram line 11
chosen
Basel tram line 11 is a key route in the Basel tram network, connecting various districts and suburbs through the city center.
-
B.
Basel tram line 16
Basel tram line 16 is a public transport route in the Swiss city of Basel that connects key urban districts and landmarks as part of the Basel tram network.
-
C.
Basel tram line 10
Basel tram line 10 is a key tram route in the Basel metropolitan area that connects the city with surrounding suburbs and municipalities, including Münchenstein.
-
D.
Basel tram line 14
Basel tram line 14 is a key route in the Basel tram network that connects suburban areas with the city center and major transit hubs.
-
E.
Zürich tram line 11
Zürich tram line 11 is a major tram route in the city of Zurich that connects key districts and transport hubs across the urban area.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5394c570819081dbbe7e0f98f7d3 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.