Triple
T3775472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaisermühlen |
E83295
|
entity |
| Predicate | transportServedBy |
P1298
|
FINISHED |
| Object | U1 metro line |
E276799
|
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: U1 metro line | Statement: [Kaisermühlen, transportServedBy, U1 metro line]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U1 metro line Context triple: [Kaisermühlen, transportServedBy, U1 metro line]
-
A.
U1 metro line
chosen
The U1 metro line is one of Vienna’s main underground lines, running north–south through the city and connecting key districts and transport hubs.
-
B.
U1 line
The U1 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with several northern suburbs.
-
C.
U2 metro line
The U2 metro line is one of Vienna’s rapid transit lines, running from the city’s outskirts through central districts and serving major venues and recreational areas.
-
D.
U6 line
The U6 line is a route of the Frankfurt U-Bahn rapid transit system that connects various districts across the city, including central hubs such as Hauptwache.
-
E.
U3 line
The U3 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northwestern suburbs.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5ac9688190bc921cd3ba1d0580 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e53209888190823412fabacbc914 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:36 p.m.