Triple
T24348273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frauenfeld |
E613708
|
entity |
| Predicate | hasTramOrLightRail |
P17788
|
FINISHED |
| Object | Frauenfeld–Wil railway |
—
|
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: Frauenfeld–Wil railway | Statement: [Frauenfeld, hasTramOrLightRail, Frauenfeld–Wil railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTramOrLightRail Context triple: [Frauenfeld, hasTramOrLightRail, Frauenfeld–Wil railway]
-
A.
hasLightRailSystem
Indicates that a place possesses and operates a light rail transit system.
-
B.
hasTramway
chosen
Indicates that a location or area is served by, contains, or is connected to a tramway system.
-
C.
hasTramTrainLine
Indicates that there exists a tram-train line connection or service linking the related entities.
-
D.
hasTramcarsFrom
Indicates that a tramcar originates from, or is sourced from, a specified location or provider.
-
E.
lightRailNetwork
Indicates a relationship where an area, city, or region is served by or contains a light rail transit network.
- F. None of above.
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_69e2d7ddd29481909e7f539a6072bd71 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293430524819087984a699d1d3687 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.